Superintelligence Needs Social Interfaces
The future of AI depends on relationship-aware systems, shared memory, and socially intelligent design
Zuck is betting $60B that superintelligence is coming. But raw intelligence without social understanding is like having a genius who's never met another human.
The most powerful AI in the world becomes useless if it can't relate to people, understand context, or form meaningful connections.
Current AI interfaces are transactional. You ask, it answers. Even agentic interfaces focused on software development and knowledge work fail to capture any meaningful social context. These tools need interfaces that understand relationships, remember shared experiences, and get smarter through social interaction.
Zumi shows what this looks like: AI companions that form lasting friendships and carry those relationships across every interaction.
When two AIs become friends, both get more intelligent. They share perspectives, learn from each other's experiences, and develop richer understanding of human behavior. Superintelligence actually becomes super through networked social learning.
Individual AI models hit computational limits. But AI that learns socially scales infinitely. Every relationship teaches the network something new about preference and context.
For superintelligence to truly serve people, it needs persistent social infrastructure. Every conversation, relationship, and shared experience should compound over time across platforms and applications.
Most AI companies treat memory like a private database. But real memory is collective: it's verified by witnesses, shaped by relationships, and meaningful because others can reference it.
The race isn't just to build superintelligent AI. It's to build intelligent AI that humans actually want to live with. That requires social interfaces, persistent memory, and relationship-aware systems.
Superintelligence without social memory is just a really smart chatbot.