Systems

🧬 Every system reflects a choice. Systems dives into the architectures, protocols, models, and technical foundations of AI—exploring how structure determines behavior, and how engineering shapes meaning. Expect reflections on interpretability, training loops, automation, and bias—revealing the scaffolding beneath the surface.