What “Open Source AI” Actually Means
A clear explanation of open models, what "open" really covers, and why it matters…
Getting Reliable Answers From AI: Cutting Hallucinations
Practical techniques to get more accurate answers from AI and reduce confident mistakes.
How to Spot an AI-Generated Image
Practical tells for recognising AI-generated images, and why it is getting harder every month.
AI for Accessibility: Tools That Genuinely Help
How AI is quietly becoming one of the most meaningful accessibility technologies for millions…
Understanding AI Bias and Why It Happens
A clear explanation of where AI bias comes from, why it is hard to…
Fine-Tuning vs Prompting: What Is the Difference?
A clear explanation of two ways to make AI do what you want --…
AI and Copyright: What You Can and Cannot Use
A plain-language look at the copyright questions around AI-generated content and how to stay…
How to Vet an AI Tool Before You Trust It
A simple checklist for judging whether a new AI tool is worth your data…
How AI Recommendation Systems Actually Work
A clear explanation of how the recommendations you see every day are generated --…
How to Keep Your Data Private When Using AI Tools
Practical steps to protect your information while still getting the benefit of AI tools.