Artificial Intelligence Blogs for Technologists
AI in banking, LLMs in production, AI infrastructure and governance, and what actually changes when you deploy AI at enterprise scale, written for technologists not hype-chasers.
Intelligence vs Wisdom: Why Smart Systems Keep Failing
1. Definitions First (Because This Matters) Intelligence is the ability to acquire knowledge, process information, identify patterns, and solve problems. It answers the question: Can we do this? Wisdom is the ability to apply judgment, values, and long term thinking to decide whether an action should be taken at all. It answers the question: Should […]
Read more →Appium macOS Desktop App Testing: Setup & First Test
Automating native Mac applications with Appium and Claude Code 1. What Appium Actually Is (and Why It Matters for Desktop) Most engineers encounter Appium in a mobile context, but it has always supported native desktop application testing on macOS through its mac2 driver, and this is genuinely useful territory that gets far less attention than […]
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The ARM That Grew Teeth
How a 35-year-old IP licensor just walked into the most contested real estate in computing ARM spent 35 years becoming the most trusted neutral infrastructure company in computing, and then deliberately chose to give up that neutrality in exchange for a larger share of the value it had always enabled others to capture. Whether that […]
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Force Claude to Debug Like an Engineer: 9-Step Guide
If you are doing 20 builds before finding the real issue, the problem isnot intelligence. It is workflow design. Claude defaults to probabilistic reasoning. It produces the most likelyexplanation. That is useful for writing. It is disastrous for debugging. You must force it into instrumentation mode. This article shows exactly what to configure, where to […]
Read more →Model Context Protocol: Enterprise Implementation Guide
The Model Context Protocol (MCP) represents a fundamental shift in how we integrate Large Language Models (LLMs) with external data sources and tools. As enterprises increasingly adopt AI powered applications, understanding MCP’s architecture, operational characteristics, and practical implementation becomes critical for technical leaders building production systems. 1. What is Model Context Protocol? Model Context Protocol […]
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Open Weights: Why Would Anyone Give Away the Most Expensive Part of an AI Model?
1. A strange thing is happening in AI There is something slightly strange happening in artificial intelligence. Companies are spending enormous amounts of money buying GPUs, building data centres, collecting data, employing researchers and training increasingly capable models. Training a serious frontier model is not like writing an ordinary piece of software. Much of the […]
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Why Asking ‘Why?’ Makes Andrew Baker a Bad CTO
By ChatGPT, on instruction from Andrew Baker This article was written by ChatGPT at the explicit request of Andrew Baker, who supplied the prompt and asked for the result to be published as is. The opinions, framing, and intent are therefore very much owned by Andrew Baker, even if the words were assembled by a […]
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CloudScale SEO AI Optimiser: Free WordPress SEO Plugin
Written by Andrew Baker | February 2026 Download the plugin here: https://wordpress.org/plugins/cloudscale-seo-ai-optimizer/ S3 download (updated frequently): https://andrewninjawordpress.s3.af-south-1.amazonaws.com/cloudscale-seo-ai-optimizer.zip I spent years working across major financial institutions watching vendors charge eye-watering licence fees for tools that were, frankly, not that impressive. That instinct never left me. So when I wanted serious SEO for my personal tech blog, I […]
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How Banks Can Break Client Hypnosis: Contextual Authorisation and the Fight Against Social Engineering Fraud
by Andrew Baker 1. Opening: The Client Has Been Captured The fraud victim approving a transaction they believe is a refund is not making a mistake. They are not confused or careless or naive. They are operating under full psychological capture, executing instructions from an authority figure they have been conditioned over the course of […]
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AI Supercharges Confidence, NOT Judgement: Why AI Is Making Technical Leadership Harder, Not Easier
Put ten surgeons in a theatre. Each has twenty years behind them, thousands of procedures, and a working memory of every time an apparently simple decision went wrong at hour four. They examine the patient and arrive, independently, at the same conclusion: this operation is a bad idea. Standing next to them is a man […]
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GitHub Copilot Pricing Change: Why Teams Are Switching to Claude
Meta description: GitHub Copilot moves to usage-based billing on June 1, 2026. Here is what changed, why distribution masked a product quality problem for years, the data showing enterprises switching to Claude and OpenAI, and what engineering leaders need to do right now. 1. What is actually changing with GitHub Copilot pricing on June 1, […]
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AI Hallucination Is Not Lying. That’s Why It’s Dangerous
The real enterprise risk is provenance collapse: AI can mix retrieved facts, user assertions and fabricated claims without telling you which is which. I spent twenty minutes last week watching a frontier AI assistant invent a fact about me, invent a citation to support that fact, confess under pressure that it had invented both, and […]
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