As TechCrunch AI notes, glossaries are helpful, but they risk creating a false sense of consensus in a domain where key goals are fundamentally contested. The entry on AGI, for instance, highlights three subtly different definitions from major labs, a divergence that arguably reflects competing commercial and philosophical visions more than semantic nuance. For industry observers, the real story is not the terms themselves but what the struggle to define them reveals: a field racing toward capabilities whose societal and economic implications remain dangerously underspecified. The glossary is a useful map, but it charts a territory whose borders are still being fought over.