General AI

These papers reflect a sustained inquiry into innovation, credibility, and the limits of prevailing approaches to artificial intelligence. They are not position pieces in the marketing sense, but working reflections grounded in lived systems work.

A recurring concern across the papers is the erosion of credibility when innovation is reduced to tooling, automation, or surface-level optimisation. Several of the essays examine how organisations confuse activity with progress — and novelty with intelligence.