Category: Artificial Intelligence

  • You Ask, I Answer: How to Justify AI Costs to the CFO?

    Summary In today's episode, I explain how to justify escalating AI API costs to your CFO when direct revenue ROI isn't apparent, using a blender analogy to reframe the question. Here's what this means for you. You need a measurement strategy that proves your AI spend is making the company money faster than it's costing…

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  • Qwen3.8 27B: The Laptop Model That Matches Opus 4.7 SOTA AI Performance

    It is difficult to overstate how big a deal Qwen3.8 27B is as an AI model. For those new to open weights models, traditionally, open weights models have lagged behind state of the art models by 6-12 months. Using an open weights model (usually for cost reasons) meant sacrificing capabilities for cost. The team at…

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  • You Ask, I Answer: How to Diversify AI Vendors?

    Summary In today's episode, I break down the strategic case for balancing commercial AI providers like OpenAI against self-hosted open source LLMs, using a "plan big, act small" framework. Here's what this means for you. You'll gain a business continuity playbook that hedges against major AI vendors inevitably tripling prices to cover their massive losses.…

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  • Don’t Disarm the Blue Team: Why Open-Source AI Is the Key to Real Cybersecurity Safety

    Paul Roetzer asked over on Xitter: “I desperately want to understand how open-source absolutists believe open versions of this type of agent ability is safe. I get that open-weight models may be critical for defenses, but how does putting this capability in bad actors hands with no oversight work? Honest question. No ulterior agenda than…

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  • You Ask, I Answer: How to Build a Cheap AI Sidekick Box?

    Summary In today's episode, I break down how to choose between building a cheap local AI inference box and setting up a low-cost orchestration computer that hands the heavy lifting to a cloud provider. Here's what this means for you. You'll get a clear framework for matching your budget, power budget, and privacy needs to…

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  • State-of-the-Art AI Just Got 95% Cheaper: Run Top Models Locally

    Another week, another Pareto distortion in AI. Two new AI models came out on the scene this week, Qwen3.8-Flash-Next and zAI GLM-5.3-Flash. Both of these are Flash models, meaning that they’re smart but optimized for speed. Both of them score higher on Artificial Analysis independent benchmarks than Claude Sonnet 5 and Opus 4.7. They’re both…

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  • Almost Timely News: 🗞️ Creating A Keynote Speaker Second Brain (2026-09-13)

    _Almost Timely News: 🗞️ Creating A Keynote Speaker Second Brain (2026-09-13) :: View in Browser_ The Big Plug ✍️ Enroll in my new course, AI for Writers and learn how to make AI write better. Content Authenticity Statement 75% of this week’s newsletter was made by me, the human. There’s a purely AI-generated glossary of…

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  • Five New AI Models Compared: Why Qwen 3.8 Is the Only One Worth Your Time

    Five new AI models hit the field this week, and only one of them is probably worth your time. Let’s take a look. Contender 1: Muse Glimmer. This is Meta’s newest open weights model, a 30 billion parameter dense model. It’s fast, it’s cheap, and it’s slightly smarter than Claude Haiku. If you have nice…

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  • Transform Your Marketing Data with Generative AI at MAICON26: Workshops, Podcasts & Networking

    In 48 days – 7 weeks – I and a bunch of other folks are making our annual pilgrimage to Cleveland for #MAICON26, the SmarterX Marketing AI Conference. What’s on tap this year? Katie Robbert and I will be recording an episode of our In-Ear Insights podcast live from the show floor on Wednesday, 14…

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  • How to Make AI Unique: Use Low-Probability Prompts to Beat the Bell Curve

    “Every website AI designs looks the same.” “AI writing all reads the same – ‘that X is the point’ etc.” “AI music sounds so bland.” Yes, of course. A probability engine designed to predict the highest probability is going to converge on the middle of the bell curve. Absent strict guidance about what to do…

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