Why Specialization Is Inevitable
As AI systems scale, the economics of training push toward narrow, domain-specific models rather than generalists.
Smaller specialized models offer better latency, lower compute cost, and easier fine-tuning than adapting a 500B parameter foundation model to every task.
The result: a fragmented ecosystem of task-optimized models replacing the current era of one-model-fits-all.