Computer science has become one of the most powerful intellectual forces of our time. It does something no other field quite does: it discovers like science, invents like engineering, and creates like art. In doing so, it has helped build the infrastructure of modern reality—algorithms, platforms, networks, and increasingly, AI systems that shape how billions of people think, interact, and decide.
This talk places computer science on a larger intellectual canvas. It contrasts two ways of seeing the world: one rooted in determinism, decomposition, and control—what we might call the “clock” worldview—and another grounded in emergence, adaptation, and irreducible complexity—the “cloud” worldview. Computer science sits uniquely at the intersection of these modes of thinking.
The field’s greatest achievements have come from its mastery of “clock thinking”: formalization, algorithms, optimization, and scalable systems. But the world these systems now inhabit—and increasingly create—is a “cloud world”: dynamic, interconnected, and only partially predictable.
This mismatch raises a central question: what does computer science need to become when it is not just solving problems, but designing environments—and increasingly, reality itself?
The talk argues that the next phase of the field will require complementing its extraordinary precision with new forms of rigor—tools for navigating uncertainty, reasoning under incomplete models, and designing for emergence rather than control.
Computer science has already shaped the landscape we live in. The question now is whether it will also develop the intellectual frameworks needed to understand—and responsibly guide—the worlds it is creating.
Talk delivered at the Computer Science Department, Northwestern University, May 20, 2026
