The Evolution of AI Application Architecture: Methods Move into the Model, Boundaries Stay in Reality
TL;DR: AI application architecture will be divided again according to responsibility. Cognitive structures that help models understand, reason, plan, remember, and correct themselves will gradually be internalized by stronger models and runtimes. Structures that define where goals come from, how systems connect to reality, who may act, what constraints apply, and how outcomes are proven cannot be self-granted by a model—and will not disappear. Architecture will shift from compensating for model weaknesses to establishing trustworthy real-world boundaries for powerful actors. ...