Mmojo Articles
#MeWriting Welcome to my Mmojo Articles. I used to post mostly on LinkedIn. For 2026, I’m posting here and linking from LinkedIn. You can comment on LinkedIn if you like. I’ll link to the reposts in posts here.
-Brad
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The Delight of LLMs
A “delightful” task is one where it doesn’t matter how wrong the answer is. LLMs are great at these!
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Principles
I have 3 core principles for generative artificial intelligence (GenAI) in general, and large language models (LLMs) in particular: Privacy, Dignity, and Requisite Chill.
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On Hype and Doom (Opinion)
AI Hype is bullshit. AI doom is bullshit. Pardon my high school level French.
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Announcing Mmojo Server for Debian
I’m happy to announce the immediate availability of Mmojo Server for Debian Linux, Ubuntu Linux, and Raspberry Pi 5.
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Announcing OpenClaw + Mmojo Server for Windows
I’m happy to announce the immediate availability of my OpenClaw and Mmojo Server deployment guide for Windows.
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Announcing Mmojo Server for Windows
I’m happy to announce the immediate availability of Mmojo Server for Windows.
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LLMs: Good For and Bad For
“People are making a lot of decisions based on what a robot thinks the next word should be.” -Pete A. Turner
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Engineered Software vs. Flat-Pack Code
Woodworking vs. flat-pack furniture might be the perfect analogue metaphor for software engineering and vibe coding. Can’t we all just get along?
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Inference @ Home
Americans will soon face a choice: Get off the electric grid or do their inference at home. Let me define and explain.
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Knowing What AI is Good For is a Super Power
The AI Super Power works like this: 1. You know what tasks generative AI is actually good at. 2. You have the chill to not endorse tasks it’s not good at.