Month: May 2025

  • Foundation Principles of Generative AI, Part 4

    Summary In today's episode, I explain how prompt length affects both casual AI users and professional developers. Here's what this means for you. You can optimize your prompting strategy to improve model quality or reduce operational costs. You'll also learn these concepts: why consumer tools benefit from longer prompts, how word counts drive up API…

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  • Will AI Replace Coders? The Shocking Truth About the Future of Programming Jobs

    OpenAI: “Codex helps you code faster!” Google: “Gemini is the best coding model and Jules helps you code!” Anthropic: “Claude is the smartest coding model!” Do you see the trend? And this isn’t just these companies, everyone touts their models’ ability to code. DeepSeek. Alibaba. Mistral. Cohere. When people talk about jobs AI will take,…

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  • Foundation Principles of Generative AI, Part 3

    In this episode, what model should you use? You will learn the fundamental difference between types of AI models. You will understand why one type of model typically provides better results. You will discover which model type is best for most everyday tasks. You will learn how to improve the quality of your AI outputs…

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  • Foundation Principles of Generative AI, Part 3

    Summary In today's episode, I explain the differences between reasoning and non-reasoning AI models. Here's what this means for you. You can significantly improve your results by choosing the correct model class for your specific tasks. You'll also learn these concepts: how reasoning models execute internal thought drafts, why these models handle prompt ambiguity more…

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  • AI’s Dark Side: How Human Nature Could Turn Our Greatest Tech Into Our Biggest Threat

    What keeps me up at night, besides watching reruns, is AI. Not the technology. The technology is fine. The use of the technology. Every day, I grow increasingly pessimistic about human nature and how human fundamental behaviors will take ever more powerful technology and use it for the least good outcomes – increased income inequality.…

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  • Foundation Principles of Generative AI, Part 2

    In this episode, Christopher Penn discusses foundational principle number two of generative AI and data privacy. You will discover the critical principle governing data privacy with generative AI. You will understand why your data becomes the product when you use free AI services. You will identify the safest ways to protect your information when working…

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  • Why AI Doesn’t Sound Like You (And How to Fix It)

    “Why doesn’t AI sound like me?” The recent academic paper “From Tokens to Thoughts” explains exactly why, albeit in a technical way. LLMs – the engines that power tools like ChatGPT – are compression engines. They take big data and compress it into small data so that AI can efficiently predict the next set of…

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  • Foundation Principles of Generative AI, Part 1

    In this episode, discover the fundamental principle for mastering generative AI adoption. You will uncover the simple strategy to test AI capabilities across many tasks to find its limits. You will understand the critical safety boundaries for using AI tools responsibly. You will gain insight into identifying effective ways to integrate AI into your work…

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  • Foundation Principles of Generative AI, Part 1

    Summary In today's episode, I introduce the first foundational principle of generative AI. Here's what this means for you. You can master AI by applying it to every possible task until you discover its limits. You'll also learn these concepts: how to test AI across various workflows, how to manage data privacy risks, and why…

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  • Almost Timely News: πŸ—žοΈ How To Make a 30 Second Spot with AI (2025-05-11)

    Almost Timely News: πŸ—žοΈ How To Make a 30 Second Spot with AI (2025-05-11) :: View in Browser The Big Plug πŸ‘‰ Check out my opening keynote talk from Content Jam 2025 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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