The Intelligence Paradox: Why We're Building LLMs Wrong (And How to Fix It)

LLMs aren’t failing because they’re small—they’re failing because scale is mistaken for intelligence. Benchmarks don’t reflect real-world use, alignment remains unsolved, and energy costs are ignored. The future of AI lies in specialized systems, human feedback loops, and interpretable architectures—not bigger models. The winners will build ecosystems, not just models.