Category: Data

  • Why AI Isn’t Alive and What That Means for Humanity

    There is no life in AI. Let’s be absolutely clear that people who believe AI to be conscious, to be sentient, to be alive… no. There is no life here. Generative AI is predominantly token prediction. When you use these tools and you look under the hood at what’s going on, when you go behind…

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  • How to Use Deep Research AI to Create Custom Step-by-Step Guides in Minutes

    Deep research isn’t just research. It’s one of THE most powerful tools you have access to, because it’s really just an agent. Here’s a simple example. This morning, I was troubleshooting the marketing automation software we use at Trust Insights. I was getting system errors (it runs on a self-hosted server) and I had a…

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  • You Ask, I Answer: How Secure is Generative AI Data?

    Summary In today's episode, I explain the complexities of data security and privacy when using generative AI. Here's what this means for you. You can protect your sensitive information by understanding how AI companies handle your data. You'll also learn these concepts: how companies distinguish between data retention and model training, how users adjust privacy…

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  • Why AI Answers Aren’t Always the Best Solution (And When to Slow Down)

    How patient are you with AI? One of the great hidden dangers of AI is its ability to diminish your patience. Ask ChatGPT/Claude/Gemini anything, and you get an answer immediately. Very reminiscent of the sign seen in various snarky places: Answers: Free Correct Answers: $1 If you want really great answers, be prepared to invest…

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  • You Ask, I Answer: Consolidating Multiple LLM Outputs?

    Summary In today's episode, I explain how the Model Context Protocol and local databases allow you to connect multiple AI models effectively. Here's what this means for you. You gain complete control over your AI reasoning and data by building a secure, local infrastructure instead of relying on third-party productivity tools. You'll also learn these…

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  • Your Digital Ghost: How AI Could Recreate Your Work After You Leave—And What You Can Do About It

    Let’s talk about your digital ghost. In the age before generative AI, when you left a company, the company usually just archived all your stuff, removed your name from the blog, and you were never spoken of again. Perhaps a few long-timers fondly remembered you or kept in touch on LinkedIn, but once you were…

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  • How I Used AI to Build a 15-Year Investment Portfolio (And Why It’s Not Financial Advice)

    DISCLAIMER: THIS IS NOT FINANCIAL ADVICE. Seriously, don’t take financial advice from me. Ever. I’m completely unqualified to be giving it, so I don’t. This is not advice. This is not even the putrid fading aroma of advice, like cheap cologne breaking down at a back alley night club. For those who remember, I pulled…

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  • You Ask, I Answer: Which AI Model Is Best For Tasks?

    Summary In today's episode, I explain why you should prioritize context and prompts over model selection. Here's what this means for you. You will achieve much better results by focusing on the data you provide to the AI. You'll also learn these concepts: why model performance gaps are shrinking, how the Model Context Protocol connects…

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  • Unlock the Full Power of AI for B2B Marketing: 3 Advanced Strategies Beyond Basic Content Generation

    Using AI to generate content is like taking your Rolls Royce or your Bugatti to the grocery store. Yes, it can do that. It will get the job done, and done in style. But that’s not even remotely close to what it’s capable of. At the 2024 MarketingProfs B2B Forum, I suggested a few other…

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  • You Ask, I Answer: Can Open Source AI Compete with Closed Models?

    Summary In today's episode, I explore how you can replicate the power of large closed models by combining small open-weights models with external tools. Here's what this means for you. You can achieve high-level performance with smaller, cheaper, and more private models by leveraging local data and search capabilities. You'll also learn these concepts: how…

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