Category: Generative AI

  • AI Generated a Novel in 51 Minutes. Here’s Why Human Connection Still Wins in Influencer Marketing

    Last night I used Minimax M3 to generate a steaming pile of AI slop in 51 minutes, a 50,000 word 1920s romance novel set in Venice. (and it’s terrible) I did it to prove a point to a commenter on X who publicly posted they didn’t feel like human authors deserved fair compensation for their…

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  • How to Generate Unique AI Music Using Public Domain Archives for Less Generic, Defensible Tracks

    How do you generate less generic music with AI? You start by using existing music. AI, by definition, will create mathematical averages of the tasks you give it, be it writing, images, video, or music, based on what is most probable in its training data set. DISCLAIMER: I AM NOT A LAWYER. THIS IS NOT…

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  • Don’t Trust Generative AI Until You Run the BBQ Bias Benchmark

    Let’s talk about BBQ. Not the food, the Bias Benchmark of QA, a test of AI’s ability to navigate known human biases. BBQ dates back to 2021, when the earliest language models like GPT-3 and GPT-J-6B were first released; generative AI was in its infancy and researchers had identified that early models returned significant biases.…

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  • You Ask, I Answer: Solving the AI Personalization Cold Start

    Summary In today's episode, I walk through how to solve the cold start problem for AI personalization when you have zero behavioral data on new users. Here's what this means for you. You'll gain a practical framework for bootstrapping personalization using synthetic AI agents instead of forcing users through rating screens. You'll also learn these…

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  • Almost Timely News: 🗞️ Can AI Be An Investment Expert? (2026-08-02)

    _Almost Timely News: 🗞️ Can AI Be An Investment Expert? (2026-08-02) :: View in Browser_ The Big Plug 👉 New merch! The Trust Insights Deep Research Suite Content Authenticity Statement 95% of this week’s newsletter was made by me, the human. You’ll see multiple outputs from Claude and a link to the report it generated.…

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  • You Get What You Pay For: Why Supporting Human Authors Beats AI Slop

    Two enduring maxims: Fast. Cheap. Good. Choose any two. You get what you pay for. Earlier today, my friend alerted me about a discussion on X, visible in the photo on this post. TLDR: people said they didn’t want to pay for books because they couldn’t afford them, and thought all authors should be required…

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  • So What? How AI Detectors Work

    Summary In today's episode, I walk through how AI detectors actually work under the hood and why their results are far less trustworthy than most people assume. Here's what this means for you. You gain a critical understanding that AI detection is a statistical assessment of word probability, not a verdict on authorship, quality, or…

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  • Hands-On AI Workshops for Marketers: Why You Need to Attend MAICON 2026

    Back in 2019, Paul Roetzer asked me to speak at a brand new event, the Marketing AI Conference, MAICON hosted by the Marketing AI Institute. This was 3 years before ChatGPT, a full year before the first minimally functional GPT model even existed. How things have changed since then. The first MAICON conference was about…

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  • You Ask, I Answer: Handling AI Context Drift?

    Summary In today's episode, I tackle Cooper's question about handling context drift and hysteresis in long-running persistent agent sessions, explaining why generative AI models cannot remember anything on their own. Here's what this means for you. You gain a clear framework for understanding why memory problems happen in AI agents and how external scaffolding solves…

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  • Stop the SaaS Trap: How to Use FOSS and AI to Build Custom Software You Actually Own

    A reminder that there is a 3rd way between “vendor lock-in” and “YOLO vibe code an alternative”. That way is called FOSS: Free, Open Source Software. Free, Open Source Software that bears either an Apache, BSD, or MIT license can be used for commercial purposes without restriction. AGPL and GPL licensed software can be used…

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