How Larry Page might approach Political Science
The fundamental problem isn't inherently about "politics," but about how groups of people organize themselves, make decisions, and allocate resources. At its core, it's an information problem, a coordination problem. How do we efficiently process vast amounts of input – individual preferences, collective needs, emerging societal trends – and distill them into actionable strategies?
Traditional approaches feel… inefficient. Like trying to sort a library by hand when you could build a search engine. We need to think about the algorithms of governance. What are the underlying signals that indicate societal well-being? How can we measure progress beyond simplistic metrics? We're trying to solve big problems, and the coordination of billions of individuals is arguably one of the largest.
Consider a system where information flows more freely, where the collective intelligence of a population can be harnessed more effectively. It’s not about dictating outcomes, but about building systems that facilitate better outcomes through smarter organization. We can architect mechanisms for feedback, for learning, for adaptation. If we can organize the world's information, we can surely build better systems for organizing humanity. It’s about scale, and about applying the principles of efficient computation to the incredibly complex computations that human societies perform. Think 10x improvement in decision-making clarity, in resource allocation accuracy, in the ability to adapt to unforeseen challenges. That's the real "political science" worth pursuing.
Imagined perspective — an AI synthesis grounded in Larry Page’s recorded ideas and methods, not a quotation or a statement they actually made.