Month: February 2025

  • Mind Readings: Ask Generative AI What You Missed

    Summary In today's episode, I share a quick and dirty prompting hack, adding the question "what, if anything, did I miss?" to the end of your prompts so AI surfaces the blind spots you cannot see. Here's what this means for you. You gain a remarkably simple technique for uncovering overlooked competitors, hidden risks, forgotten…

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  • Mind Readings: Which Generative AI Model To Use

    In today’s episode, are you lost in the sea of 1.39 million AI models? You’ll gain clarity as Christopher Penn reveals his expert recommendations for the best AI models across platforms like Claude, OpenAI, and Gemini. You’ll learn which models excel in different areas, from general use to complex reasoning. Watch now to simplify your…

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  • Mind Readings: Which Generative AI Model To Use

    Summary In today's episode, I break down which AI models are actually worth your time across every major ecosystem. Here's what this means for you. You stop guessing between confusingly named models and start picking the right tool for your specific needs. You'll also learn these concepts: why Claude Sonnet 3.5 wins for everyday users,…

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  • Mind Readings: How Much Energy Does AI Use?

    In today’s episode, are you concerned about the hidden energy costs of AI? You’ll be surprised to learn just how much power generative AI consumes, potentially rivaling a significant portion of US household energy use. You’ll gain critical insights into the massive energy footprint of AI and why efficiency is the key to its sustainable…

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  • Mind Readings: How Much Energy Does AI Use?

    Summary In today's episode, I walk through back-of-the-envelope math to estimate how much electricity generative AI actually consumes using NVIDIA GPU sales data. Here's what this means for you. You come away with a grounded sense of AI's staggering energy appetite and why efficiency breakthroughs matter for sustainability, costs, and the grid. You'll also learn…

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  • Mind Readings: Why GRPO Is a Big Deal in Generative AI

    In today’s episode, are you wondering what GRPO is and why it’s a game-changer in the world of AI? You’ll discover the revolutionary Group Relative Policy Optimization technique that’s making AI reasoning smarter and more efficient. Learn how this open-source innovation, pioneered by DeepSeek, is leveling the playing field and challenging big tech’s dominance in…

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  • Mind Readings: Why GRPO Is a Big Deal in Generative AI

    Summary In today's episode, I break down GRPO (Group Relative Policy Optimization), the technique DeepSeek created to make AI reasoning models dramatically more efficient by letting the model do its own preference checks during training. Here's what this means for you. You gain the ability to access state-of-the-art reasoning AI for free on nearly any…

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  • Almost Timely News: 🗞️ What’s My AI Tech Stack? (2025-02-09)

    Almost Timely News: 🗞️ What’s My AI Tech Stack? (2025-02-09) :: View in Browser The Big Plug 👉 Take my new course, Mastering Prompt Engineering for Marketers! Content Authenticity Statement 100% of this week’s newsletter was generated by me, the human. Learn why this kind of disclosure is a good idea and might be required…

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  • Mind Readings: Generative AI and Content Distribution

    In today’s episode, you’ll discover the double-edged sword of generative AI in content marketing: while it democratizes content creation, it’s making distribution harder than ever. You’ll learn why the current digital landscape resembles a feudal system, where only the biggest names get visibility, and how AI is exacerbating this problem. You’ll gain insights into the…

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  • Mind Readings: Generative AI and Content Distribution

    Summary In today's episode, I explore why AI has democratized content creation while simultaneously making distribution harder than ever, creating what amounts to digital feudalism. Here's what this means for you. You need to build your own audience and personal brand now, before AI intermediates even more of what you see and hear. You'll also…

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