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Roadmap to LLM Filenames: From Quantization to Architecture
Navigating the world of local LLMs can feel like decoding a secret language. This guide breaks down common model filenames—explaining terms like Q4/Q6, MoE, and MTP to help you understand how resolution, architecture, and prediction logic impact performance, so you can choose the perfect balance of intelligence and speed for your hardware.
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The Risk Premium: Why Your Next AI Integration Should Be Local
Stop worrying about API costs and data leaks. Discover why moving AI to the edge, using local, open-source models like Gemma 4, offers the ultimate solution for data sovereignty. Learn how to build secure, scalable products by embedding intelligence directly into your infrastructure, ensuring your proprietary data never leaves your network.
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How to run AI locally
Let me walk you through how to run AI models locally on your own machine, removing the logistics and figuring out which type of models you can actually run. You will be surprised at how easy and quick it is.
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Enterprise Stability: Who’s Cutting Your Grass?
Sometimes we forgot who keeps the lights on and the level of effort required. Maintaining enterprise stability is not effortless and we even in this AI age, it is not a release and forget exercise.
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Jack Clark talks AI sense
Jack Clark was featured on Rest is Politics podcast, which turned out to be an non-hyped sensible conversation with an honesty seldom seem from the AI founders.
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Podcast Episode: Prompting, AI, And Business Chaos
An experiment of an AI generated podcast from a series of previously published articles. You decide.
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Simulating Corporate Chaos: Your Own Truman Show
Setup your own Truman Show, with personality types, and then sit back and watch them interact in a virtual Slack channel. Each one is run by its own AI agent, learning and interacting.
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Behind the Prompt Curtain
Every AI prompt is a stateless HTTP request. No memory, no magic. Just a JSON array of messages you build and send yourself. Once you see what is actually going over the wire, adding AI to your product stops being intimidating. The technical barrier is gone. The only question left is whether you should.
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AI is Making Us Artificially Intelligent
We had KISS. Keep It Simple, Stupid. A principle built to stop us drowning each other in noise. AI has replaced it with BOVINE. Being Overly Verbose In Needless Expositions. We are producing more content than ever, reading less of it, and proudly signing our names to work we never actually did.
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It’s Just a Series of Prompts
Everyone is talking about agent frameworks like they require a PhD and a six-figure implementation budget. They do not. At the core, it is a text file with instructions, a script that does one job, and a place to store state. That is it. You are already closer to being an agent developer than anyone is telling you.
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Diligence in the AI Era
AI has transformed technical diligence. What took weeks of painful access negotiations and siloed tooling now takes days. But a faster, broader report still lands on a desk, and someone experienced still has to decide what it means. The tools have changed. That part hasn’t.
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Ride of a life time
Dreaming opens up the doors to possibilities. If you don’t dream then you already close off paths not travelled. I dared to dream and I am about to embark on something even I couldn’t have imagined.
the legend that is, Alan Williamson
For over 24 years, I’ve shared my thoughts here on this blog whenever the muse strikes.
It’s unpredictable, honest, unedited, and occasionally witty. I’m living the best years of my life, working harder than ever, learning each day and enjoying every second.
