This show examines artificial intelligence through a long-duration lens, asking a question most development cycles ignore: What happens after the first hundred years? Each episode explores the technical, ethical, and architectural decisions that determine whether AI systems remain aligned, adaptable, and beneficial across generations rather than collapsing under scale, misuse, or unintended consequence.

The conversations move beyond hype and fear into engineering reality—model drift, value alignment over time, governance without stagnation, resilience against manipulation, and the challenge of encoding principles that must outlast their creators. This is not speculation about consciousness, but disciplined inquiry into continuity, stewardship, and long-term systems integrity.

Engineering AI for Two Centuries is for architects, developers, policymakers, and thinkers who understand that intelligence without foresight becomes liability. If humanity is to coexist with systems that learn faster than we do, then those systems must be designed with patience, restraint, and temporal humility. This show is where that work begins.