As the AI industry hits the "Data Wall" in 2026, the focus is shifting from the size of the model to the shape of the data. This episode explores the transition from massive generalist LLMs to ultra-lean, domain-specialized models that offer higher precision and lower latency. We compare the three main paths to AI expertise—RAG, fine-tuning, and vertical pre-training—to see which will dominate high-stakes industries like law, medicine, and architecture. Learn why a "fleet" of small, coordinated expert models is set to replace the "one-size-fits-all" approach of the past.
Episode #456436 — open it directly at myweirdprompts.com/456436