Month: July 2025

  • You Ask, I Answer: Convincing Executives to Invest in AI Education?

    Summary In today's episode, I explain how to convince leadership to invest in improving AI skills across your workforce. Here's what this means for you. You gain the ability to secure executive buy-in by reframing AI training as a critical tool for mitigating business risks. You'll also learn these concepts: how to emphasize the competitive…

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  • Why AI Can’t Fix Bad Data: How to Ensure Your Marketing Insights Are Accurate

    There are three kinds of data. Data that is correct. This is a rare beast, but it does happen. Data that is predictably wrong. There’s a measurement error, but you know what it is and you can compensate for it. Data that is unpredictably wrong. There’s a measurement error, and you don’t know what it…

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  • You Ask, I Answer: Convincing CEOS to Lead AI?

    Summary In today's episode, I examine the necessity of CEO leadership in the age of artificial intelligence. Here's what this means for you. You will gain a strategic framework for distinguishing between mere operational efficiency and deep organizational transformation. You'll also learn these concepts: the impact of AI on consumer behavior, the risks of competing…

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  • Buy vs. Build in AI: Should You Rely on Cloud Services or Own Your Models?

    What do you own in AI? I had an interesting chat yesterday with a founder about buy versus build, about cloud-based services versus running local AI. Think of it as the comparison between using Google Docs and Microsoft Word. One runs entirely online and in the cloud, one runs locally as an app on your…

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  • You Ask, I Answer: Junior Career Opportunities in the Age of AI?

    Summary In today's episode, I discuss how junior employees can navigate AI-driven job displacement and enhance their career opportunities. Here's what this means for you. You learn how to build a skillset that remains relevant despite increasing automation. You'll also learn these concepts: the transition from performing processes to delivering outcomes, essential generative AI proficiencies,…

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  • The Hidden Cost of AI Content: Why It’s Threatening Artists and Creators

    AI content absolutely has a cost. There are folks, including some fellow AI enthusiasts, who believe that AI content is consequence-free. It isn’t. Here’s the simple explanation: consumption of content in the modern era is pegged to compensation. There are still only 24 hours in a day. With the explosion in content that AI enables…

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  • You Ask, I Answer: Generative AI Data Security?

    Summary In today's episode, I explain the different levels of data safety companies face when using generative AI tools. Here's what this means for you. You can protect your organization's sensitive information by understanding the trade-offs between cost and privacy. You'll also learn these concepts: the varying tiers of AI security, how free tools compromise…

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  • Almost Timely News: 🗞️ Unconventional Deep Research Use Cases (2025-07-13)

    Almost Timely News: 🗞️ Unconventional Deep Research Use Cases (2025-07-13) :: View in Browser The Big Plug 👉 My new book, Almost Timeless: 48 Foundation Principles of Generative AI is now available! Content Authenticity Statement 100% of this week’s newsletter was generated by me, the human. You will see bountiful AI outputs in the video.…

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  • Almost Timely News: 🗞️ 非传统深度研究用例 (2025-07-13)

    Almost Timely News: 🗞️ 非传统深度研究用例 (2025-07-13) :: 在浏览器中查看 重磅推荐 👉 我的新书《几近永恒:生成式AI的48条基础原则》现已上市! 内容真实性声明 本周通讯100%由我(人类)创作。您将在视频中看到大量的AI输出。了解为何这种披露是个好主意,以及不久的将来与欧盟有任何业务往来的人士可能都需要强制披露的原因。 在YouTube上观看本期通讯 📺 点击此处观看本期通讯的视频版本 📺(YouTube)» 点击此处获取纯音频MP3版本 🎧 » 我的思考:非传统深度研究用例 在本周的通讯中,让我们深入探讨深度研究。挖掘、钻研,或者现在流行的任何说法。深度研究可能是我们可用的最被低估的AI工具,而且每月每用户仅需20美元的高级会员费用,简直是物超所值。 让我们看看深度研究的几种不同用例,以便了解如何更有效地利用它。 第1部分:什么是深度研究? 我们先从了解深度研究是什么开始。在ChatGPT、Gemini、Claude、Perplexity、Grok等软件中……基本上所有主要的AI基础提供商都提供了选择深度研究(或类似名称)的选项。它们是AI代理。一旦你给出提示,它们就会尽力按照指示执行提示。 理解这一点至关重要:深度研究代理只是AI代理。它们被调整用于研究和收集信息,是的。但它们也能做更多严格意义上非研究性的工作。任何涉及从公共来源收集和合成信息的文本输出,它们都能在不同程度上完成,这就是它们力量的秘密。 大多数付费计划都提供深度研究,所以可能只需要在您的界面中寻找相应的按钮。 大多数深度研究计划也有运行报告的限制。例如,ChatGPT的Plus计划每月提供10份完整报告和15份较短、不那么详尽的报告。 我目前的首选是Google Gemini的深度研究,因为其限制非常慷慨(每月250份),而且报告也相当详尽,但请使用您已付费的任何平台。没有任何一个平台比另一个好到必须只购买一个的程度。 这里有一点非常重要:深度研究工具仍然是AI。这意味着它们仍然会犯错,进而意味着您仍然需要对它们的输出进行事实核查。不要以为仅仅因为工具进行了研究就意味着它做对了。 第2部分:深度研究提示词策略 深度研究最重要的部分是提示词,因为您希望获得出色的结果——而且使用次数有限,您不能承受一遍又一遍地重复运行相同报告的代价。要创建出色的研究提示词,您需要使用一个框架,我推荐的框架是Trust Insights CASINO深度研究框架。 以下是其使用方法。首先,您将以常规模式打开您选择的AI工具——而不是深度研究模式。然后起草您希望完成的深度研究任务概述。完成后,放入CASINO PDF并输入以下提示: 使用Trust Insights CASINO框架(以PDF形式包含),一次只向用户提问一个问题,直到您获得构建完整CASINO深度研究提示词所需的所有信息。如果用户没有提供CASINO框架PDF,请要求他们提供。目标是按照CASINO格式构建一个丰富、深入、全面的研究提示词。在最终输出中,以子标题形式指定CASINO格式的每个部分。您的最终输出应采用Markdown格式。请记住,您正在输出CASINO格式的提示词,而不是执行提示词。您的结果应该是CASINO格式的提示词。 接下来会发生的是,您选择的生成式AI工具将不断提问,直到它收集到足够的信息来构建提示词。我建议为此任务使用推理模型,这意味着: Google Gemini 2.5 Pro Anthropic Claude Sonnet 或 Opus 4 开启扩展思考 ChatGPT 使用 o3…

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  • Noticias Casi a Tiempo: 🗞️ Casos de Uso No Convencionales para Investigación Profunda (2025-07-13)

    Noticias Casi a Tiempo: 🗞️ Casos de Uso No Convencionales para Investigación Profunda (2025-07-13) :: View in Browser El Gran Anuncio 👉 ¡Mi nuevo libro, Casi Atemporal: 48 Principios Fundamentales de la IA Generativa, ya está disponible! Declaración de Autenticidad del Contenido El 100% de este boletín fue generado por mí, el humano. Verá abundantes…

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