Part 2/12:
For years, the focus in AI development has been on expanding hardware—building vast data centers filled with thousands of GPUs from companies like Meta and XAI. Yet, despite exponential increases in compute power, progress has remained constrained. The core bottleneck isn't the hardware; it's human cognitive capacity. Every major AI model—GPT, Claude, Gemini—has been designed and refined by human researchers with inherent cognitive limits and finite innovation speeds.