Part 7/10:
The key point: once an AI reaches a saturation point where it can represent all relevant primitives, further parameter increases become about efficiency, speed, and energy consumption. These factors shift the focus from raw intelligence to practical deployment considerations.
The Future of Model Saturation and Differentiation
We are likely approaching a cognitive horizon—a point where models can do everything they’re fundamentally capable of doing given their current architecture and training. Beyond this, developing purpose-built subsystems or specialized ASICs (application-specific integrated circuits) becomes more viable.