The architecture of AI is different from all of the computing that came before it

AI is breaking open source out of its old habits. Compute-heavy models now demand GPU-first stacks, leaner infrastructure, and fresh rules for how we build and scale.

Jonathan Bryce points out: scalability and reliability still matter—but AI’s deployment needs throw the old architecture playbook out the window.

System shift: AI’s thirst for specialized hardware is reshaping how open source gets written, scaled, and steered.