Latest Articles
Anthropic asked AI to crack Riemann. I asked AI to spot a maths joke.
Anthropic asked its AI to "take a real stab" at the Riemann hypothesis, a 167-year-old mathematical mystery with a million-dollar prize. Claude did not win the prize. What it did do is push a stubborn 41.6% floor to 67.2% on a related problem, formally verified, and praised by Oxford’s James Maynard as "a genuinely interesting mathematical contribution." Then a small experiment of my own: five leading AI models given a maths puzzle that hides a visual joke. Only two spotted it. A story about two corners of intelligence, and the humility and scepticism they demand.
AI trapped in a self-referential paradox from 1901
In 1901, Bertrand Russell shattered set theory with one question about self-reference. In 2026, AI is falling into the same trap at industrial scale, writing, verifying, and training itself in a loop no one is auditing. Watermarking is a first step, not a fix. By 2030, a child asking “is this true?” may get a fluent, confident answer with no human at its root. Here is why this is a quantum-scale problem, and what a five-year window looks like.
The Cyber Quadrilemma
Anthropic Claude Security is impressive; however, it is just one pillar of four. Config, Compliance, and Culture remain unbuilt. A Quadrilemma is only resolved when all four pillars stand.
Your AI Tool Doesn’t Know Who It’s Talking To. Neither Do You.
A free tool on GitHub silently swaps Anthropic's Claude Code for cheaper models, and the developer never knows. No hacking. No breach. Just a design gap with a track record. The AI client trusts whatever server it points at. That assumption is now the supply chain.