Practical notes on artificial intelligence — tools, tutorials, careers and everyday applications.
How AI is accelerating drug discovery — from AlphaFold to AI-designed molecules. What it means for patients, timelines, and the future of medicine.
AI mental health tools: what genuinely helps, what does not, and which apps are risky. An honest, evidence-based guide for anyone considering them in 2026.
How to use AI health apps responsibly without spiraling into self-diagnosis. A clear guide to the genuinely useful, the overhyped, and the dangerous.
The best free AI coding assistants in 2026, honestly tested on real projects. Tabby, Codeium, Continue — reviewed and ranked by working developers.
Midjourney vs DALL-E 3 vs Stable Diffusion — what each AI image generator is actually good for in 2026. Tested on the same prompts with real output comparisons.
Six AI writing assistants tested on real tasks — blog posts, emails, summaries, and creative writing. Ranked by what actually works, not marketing claims.
ChatGPT vs Claude vs Gemini in 2026 — an honest comparison of real strengths, real weaknesses, and which to use for which task. Zero sponsored bias.
Who owns AI-generated content in 2026? The legal and ethical guide to copyright, attribution, and creative credit in an AI-assisted world.
How algorithms and AI-generated content are quietly reshaping political opinion — and what you can do to stay informed and think independently.
A step-by-step AI privacy audit — find out exactly what you are sharing with every tool you use, then take practical steps to minimise your exposure.
AI bias in the real world — documented examples, root causes, and practical steps that individuals and companies can take to reduce algorithmic harm.
AI learning activities for children that build real skills — creative, educational, and far better than passive screen time. A parent's practical guide.
