Part 9/13:
As AI continues to internalize improvements—becoming more reasoning-capable—and saturates key benchmarks, it catalyzes network effects. These effects imply a widening adoption and integration across industries, leading to pervasive AI influence in education, healthcare, defense, and scientific research.
Such as in physics, where large datasets from gravitational wave detection (like LIGO) or particle accelerators (like CERN) are processed using sophisticated mathematical algorithms. An AI that can reason and perform at high levels in math drastically reduces the cost and time of scientific discovery, fostering innovations and discoveries previously deemed too complex or resource-intensive.