
Big Tech Now Spends $1.65 Billion a Day on AI. I Built a Tracker to See What Comes Back
Microsoft, Alphabet, Amazon, Meta and Oracle spent $601B on capex in 12 months. I built a free tracker that reads their SEC filings every night. So…
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Practical explainers on AI and how it fits into everyday automation.

Microsoft, Alphabet, Amazon, Meta and Oracle spent $601B on capex in 12 months. I built a free tracker that reads their SEC filings every night. So…

What “AI token” means: text tokens in language models (cost, context windows, how to estimate them) and crypto AI tokens, with a costing example and cautions.

Every LLM is generative AI, but not all generative AI is an LLM. A clear explanation of how large language models, generative AI, deep learning and…

Six common challenges in computer vision, from data and bias to robustness, compute, explainability and privacy, with practical ways to handle each.

The six prompting strategies from OpenAI’s guide (clear instructions, reference text, splitting tasks, time to think, tools and systematic testing), with before-and-after examples and what has…

What collaborative robots (cobots) are, how they stay safe, where they are used, how they differ from industrial robots and how to decide if one fits.

Generative AI creates content; predictive AI forecasts outcomes. How they differ, business uses of each, risks, and how to combine them.

Types of freelance automation work, the skills clients pay for, where to find projects and how to scope and price them.

Six dos and six don’ts for using generative AI tools like ChatGPT, Claude and Copilot at work, from protecting confidential data to verifying output, plus a…

How artificial intelligence powers Industry 4.0 factories: predictive maintenance, quality inspection, planning, robotics, plus challenges and a practical way to start.

Rule-based chatbots follow scripts; conversational AI understands free-text questions and context. How they differ in accuracy, cost and risk, and how to choose (or combine) them.

How AI detectors work, what independent evidence says about their accuracy and bias, and better ways to assess AI-written text than a percentage score.