Month: March 2025

  • How AI Can Help You Analyze Political Documents for Accountability and Impact

    Warning! Politics ahead! One of the things you should be using AI for all the time is politics. Not the third-rate drama you see on TV screens, but the substance of politics – legislative pieces, executive orders, and court judgements. Those are the documents that will impact your life in some fashion. What should you…

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  • Almost Timely News: 🗞️ What Is Vibe Marketing? (2025-03-30

    Almost Timely News: 🗞️ What Is Vibe Marketing? (2025-03-30) :: View in Browser The Big Plug 👉 Pre-order my new course, Generative AI Use Cases for Marketers! Content Authenticity Statement 100% of this week’s newsletter was generated by me, the human. You will see outputs from generative AI in the video. Learn why this kind…

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  • 即时之讯:🗞️ 什么是氛围营销? (2025-03-30)

    即时之讯:🗞️ 什么是氛围营销? (2025-03-30) :: 在浏览器中查看 重磅推荐 👉 预购我的新课程《营销人员生成式 AI 应用案例》! 内容真实性声明 本周时事通讯 100% 由我,人类,撰写生成。您将在视频中看到生成式 AI 的输出内容。了解为何此类披露是个好主意,并且在不久的将来可能成为任何与欧盟有业务往来者的要求。 在 YouTube 上观看本期时事通讯 📺 点击此处观看本期时事通讯的 YouTube 视频版 📺 » 点击此处获取纯 MP3 音频版 🎧 » 我在想什么:什么是氛围营销? 最近在 LinkedIn 的营销 AI 领域,有一个话题很热门,那就是非常时髦的表达——“氛围营销” (vibe marketing)。支持者称其为营销的下一次进化。其他人则不确定该如何称呼它。无论它是什么,听起来往好了说是很有趣,往坏了说是有点狡猾。因此,本周,让我们深入感受一下氛围 (vibe),看看氛围营销到底是怎么回事。 第一部分:氛围营销的起源 氛围营销的起源与营销无关。其母术语是“氛围编程” (vibe coding),由 OpenAI 联合创始人、真正的 AI 专家 Andrej Karpathy 创造。Karpathy 在他的社交媒体上这样说: 有一种我称之为“氛围编程 (vibe coding)”的新型编程方式,你完全沉浸在这种氛围中,拥抱指数级增长,甚至忘记代码的存在。这之所以可能,是因为大型语言模型(LLM)(例如,带有 Sonnet…

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  • Almost Timely News: 🗞️ 바이브 마케팅이란 무엇인가? (2025-03-30)

    Almost Timely News: 🗞️ 바이브 마케팅이란 무엇인가? (2025-03-30) :: 브라우저에서 보기 핵심 홍보 👉 새로운 강의, ‘마케터를 위한 생성형 AI 활용 사례’를 사전 주문하세요! 콘텐츠 진위성 선언문 이번 주 뉴스레터는 100% 저, 인간이 작성했습니다. 영상에서는 생성형 AI의 결과물을 보실 수 있습니다. 이러한 공개가 왜 좋은 생각이며, 가까운 미래에 EU와 어떤 형태로든 비즈니스를 수행하는 모든 사람에게…

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  • Berita Hampir Tepat Pada Waktunya: 🗞️ Apakah Itu Pemasaran Vibe? (2025-03-30)

    Berita Hampir Tepat Pada Waktunya: 🗞️ Apakah Itu Pemasaran Vibe? (2025-03-30) :: Lihat dalam Pelayar Web Promosi Utama 👉 Pratempah kursus baharu saya, Kes Penggunaan AI Generatif untuk Pemasar! Penyata Ketulenan Kandungan 100% surat berita minggu ini dihasilkan oleh saya, seorang manusia. Anda akan melihat output daripada AI generatif dalam video. Ketahui mengapa pendedahan seperti…

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  • 30% of Tasks Will Disappear by 2030—Here’s How to Future-Proof Your Career

    Say goodbye to at least 30% of tasks. The World Economic Forum’s latest 290-page whopper, The Future of Jobs Report, had this rather stunning graphic. It shows: – Today, 47% of tasks are human only – 30% are human/machine hybrid – 22% are machine only By 2030, according to their survey: – 33% of tasks…

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  • So What? SEO for AI Part 3: Offsite Optimization for AI

    Summary In today's episode, I walk through off-site optimization tactics for generative AI as the final installment of a three-part SEO for AI series. Here's what this means for you. You'll see why traditional PR skills are your sharpest weapon for influencing both the training data and the grounding sources that AI models rely on.…

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  • How to Get Better AI Results: The Secret Behind Precise, Step-by-Step Prompts

    Generative AI needs to talk. This is generally accepted advice – that to get the best results out of large language models like the ones that power ChatGPT, they need to talk things out. Of the dozens of prompt engineering techniques that exist, moer than half fall into the category of chain of thought, which…

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  • How to Test New AI Models Like a Pro: Create Your Own Benchmarks for Smarter Decisions

    “A new AI thing has appeared!” This sort of announcement is an almost daily occurrence in the world of AI and a major contributor to people feeling overwhelmed and exhausted. Here’s one way to deal with that: have your own tests. This is something I deal with a lot in the use of open models…

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  • **”Generative AI vs. Classical AI: Why Using the Wrong Type Can Lead to Disaster”**

    Katie shared this chart from McKinsey this morning, which is… inaccurate. Here’s why. There are three major forms of AI – regression, classification, and generative. We’ve had the first two for decades. You’ve experienced classification AI since the late 1990s when intelligent spam filters first appears to classify email as spam or not. You’ve experienced…

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