In 2020, a researcher named Giambattista Parascandolo stood before an MIT hiring committee and described a future that the faculty could not yet see — one where AI systems would think longer on harder problems, use language as a scaffold for reasoning, and learn to govern their own learning. Dismissed as impractical, he carried those ideas to OpenAI, where they became the architectural soul of the o1 and o3 reasoning models now reshaping the industry. His story sits within a recurring human pattern: the gatekeepers of one era often cannot recognize the foundations of the next.