Category: Artificial Intelligence

  • So What? Examining AI Writing Styles of Different AI Systems

    Summary In today's episode, I examine the writing styles of major AI systems and reverse engineer which one writes most like a specific human author. Here's what this means for you. You gain a framework for fingerprinting your own writing with Python metrics so you can pick the AI model that sounds closest to you.…

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  • Why Creators Should Automate AI Inputs, Not Outputs

    As a creator, thinker, or knowledge worker: Use AI to automate your outputs, and you’re likely to get weaker. Use AI to automate your inputs, and you’re likely to get stronger.

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  • The AI Pay Cut: Why 10x Productivity Isn’t Raising Your Salary

    AI is a pay cut for you, the human. It’s tempting to take the easy route and talk about a stagnant job market, or tech companies using AI as a cover for large scale job cuts, but that’s not what I’m talking about here. A decade ago, Katie Robbert and I worked at a PR…

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  • You Ask, I Answer: Preventing AI as a Thinking Crutch?

    Summary In today's episode, I explore how to prevent junior employees from using AI as a crutch and losing their foundational critical thinking skills. Here's what this means for you. You learn that AI misuse in the workplace usually stems from culture and leadership messaging rather than from the technology itself. You'll also learn these…

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  • Open Weights AI vs Big Tech: Why Western Giants Are Pushing for Bans

    Western #AI companies: “Protect us from Chinese AI companies!” Also Western AI companies: “NO you can’t use our models for cybersecurity” Hugging Face ended up using Z.ai GLM-5.2 to defend itself from OpenAI rogue models: https://huggingface.co/blog/security-incident-july-2026 Whenever you hear a Western politician talking about banning/regulating open weights models, it’s because a broligarch has his hands…

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  • Stop Silent AI Failures: Tell Your Model What Wins to Resolve Conflicting Instructions

    Tell AI what wins. One of the things that will degrade AI performance the most – and silently – is conflicting instructions where the AI has to determine what you mean. If you look at the reasoning traces (internal chat) when you give conflicting instructions, you’ll see AI models literally chasing their tails. It looks…

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  • You Ask, I Answer: Training LLMs for Brand Voice

    Summary In today's episode, I walk through a three-layer framework for training large language models to capture a specific brand voice instead of sounding like generic corporate copy. Here's what this means for you. You gain a repeatable system that combines good and bad examples, prompts aligned to how models think, and quantitative QA loops…

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  • Almost Timely News: ๐Ÿ—ž๏ธ What Would A Purely AI-Generated Newsletter Look Like? (2026-08-30)

    _Almost Timely News: ๐Ÿ—ž๏ธ What Would A Purely AI-Generated Newsletter Look Like? (2026-08-30) :: View in Browser_ The Big Plug โœ๏ธ Enroll in my new course, AI for Writers and learn how to make AI write better. Content Authenticity Statement 100% of this week’s newsletter was made by me, the human, BUT you will see…

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  • P2P: The Idle-Period Advantage

    Disclosure: 100% of this document is AI-generated, made by GLM-5.3-Flash on DeepInfra using the OpenCode harness. The silent stretch where your customers go dark Somewhere in your CRM right now sits a customer who bought from you almost a year ago. They opened everything you sent them for the first few weeks after the purchase.…

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  • How AI Text Watermarking Actually Works and Why Original Writing Always Wins

    Here’s how AI watermarking in text works, generally speaking. This holds true for Google’s SynthID as well as other systems like Anthropic’s announced system. Every time AI generates a word (or token), it calculates probabilities for what word should come next. The MOST probable terms are usually what AI picks from. (hence why bad prompts…

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