Thoughts on privacy, AI sovereignty, and building the future of collaborative intelligence
A 4-part series exploring how private, individually-controlled AI agents can democratize artificial intelligence
AI power is concentrating in a few Big Tech companies. But there's an alternative: networks of private, individually-controlled AI agents that collaborate without anyone giving up data sovereignty.
From helping elderly family members with Alzheimer's identify photos without uploading to Facebook, to neighborhood security camera collaboration without corporate servers. Four detailed use cases showing collaborative agents solving real problems today.
Five years ago, this would be science fiction. Today, six breakthroughs converge: Local AI deployment, Internet reachability (Edgible's innovation), Model Context Protocol (MCP), privacy-preserving cryptography, edge computing, and decentralized discovery.
When AI agents can self-organize autonomously, emergent behaviors we can't predict will arise. This isn't just about technology—it's about power dynamics in the age of AI. The technology is ready. Learn how to start participating today.
When ChatGPT launched, businesses faced an impossible choice: use AI and risk everything, or fall behind. We built Edgible as the alternative to Big AI, Big Tech, and Big SaaS.
