Research
When a subject deserves more than a post, I work through it properly and publish a long paper. A series of shorter articles comes off each one. Every figure gets chased back to where it came from, and where the trail stops early the piece says so.
An article is a short read on one part of the subject. A paper is the long piece of work the articles came off, with the evidence attached. Reading times are on everything below.
Paper
How to implement AI in your organisation and check it's working
How to put AI to work in an organisation and check it is working: who does the implementing, finding the real process, testing it, measuring it, and what it does to people. Every claim graded, with a six-step method for one process. Seven more articles are coming in this series; they appear here as they publish.
Paper
The world's AI laws disagree. Four duties keep turning up anyway
Where AI regulation stands in October 2026 across the EU, the UK, the US, China and the rest of Asia: what binds now, what lands by 2028, where the rules conflict, and the four duties that keep recurring.
Paper
Test an AI model before you rely on it: six mistakes I made testing Jev
One run said Jev beat GPT-5.4 by 11.1 points. Five runs could not tell them apart. How to test an AI model before you rely on it, from the six mistakes behind that headline.
Paper
The OpenAI–Hugging Face incident broke three assumptions in how operational resilience is actually run
The frameworks are cause-agnostic. The assumptions are in how resilience is actually run: that intent is knowable, that the response window is human-scale, and that remediation removes capability. One documented incident broke all three.
Paper
Why AI projects fail: 19 headline statistics, and what each one actually counts
Nineteen widely quoted failure figures traced to their sources, and the well-known cases re-examined from the primary record.
Every post I write, papers included, is in The Journey.