From Cloud-Bound LLMs to On-Device LSA Small Language Models

The current state of our pursuit of AI is, ironically, anchored to a fundamentally fragile and unsustainable architectural pattern: the monolithic, cloud-bound LLM. We are in a “mainframe” paradigm. These models, while providing a necessary, catalytic surge in capabilities, represent a technological adolescence. They are, in essence, brittle, power-hungry, economically non-linear, and beholden to a “brittle giant” architecture that treats intelligence as a stateless, high-latency utility.

As a st...