AlphaFold, developed by John Jumper and Demis Hassabis, has revolutionized structural biology by predicting protein structures with unprecedented speed and accuracy. What began as an ambitious AI experiment has accelerated research across disciplines—from drug discovery to environmental science. The team reflects on the unexpected impact of their work, especially how AlphaFold3's diffusion model improves predictions of molecular interactions despite increased hallucinations. While public understanding lags due to scientific complexity, the tool is already enabling breakthroughs in infertility research, protein design, and disease treatment. Beyond prediction, AlphaFold aids in designing novel proteins for applications like carbon capture and plastic degradation. However, real-world testing remains essential, as engineering functional proteins involves more than computational modeling. The future lies in practical AI systems that augment biological discovery, potentially leading to digital models of entire human cells. The conversation underscores the importance of interpretability, responsible use, and better communication of fundamental science to the public.