Martin Alderson

A fictional scenario about what AI changes for cloud security, written because the technical version of the argument doesn't land with anyone except engineers.

A back-of-envelope tokens/sec estimator for running LLMs locally. Pick your memory, model size and quantization to see how fast it'll actually run.

Figma's reliance on non-designer seats made it uniquely exposed to AI. Claude Design's launch deepens the problem.

I built a small tool to visualise how Mixture of Experts models route tokens through different experts. It's genuinely fascinating to watch.

Anthropic's 1M token context window on Opus 4.6 and Sonnet 4.6 is a genuine breakthrough - and they're not even charging more for it.

The viral claim that Anthropic loses $5,000 per Claude Code subscriber doesn't survive basic scrutiny. Let's do the actual maths.

I benchmarked 19 web frameworks on how efficiently an AI coding agent can build and extend the same app. Minimal frameworks cost up to 2.9x fewer tokens than full-featured ones.

Anthropic's 'legal tool' that triggered a $285bn selloff is 156KB of markdown. The panic reveals a hard truth about the future of software.

A bifurcation is happening in AI adoption - power users shipping products in days versus everyone else generating meeting agendas. Enterprise tool choices are accelerating the divide.