Open-source federated AI framework for global energy routing unveiled

The Planetary Energy Routing Protocol (PERP) is an open-source architectural blueprint for optimizing global energy supply and demand in real time by connecting emerging Space-Based Solar Power (SBSP) arrays and local terrestrial microgrids into a unified, self-balancing energy pool. The framework is designed as a grassroots initiative that aims to balance global energy without requiring a centralized corporate or government monopoly, treating global climate stabilization as a system-wide optimization problem.

PERP operates on four core pillars. First, a Federated Agentic Mesh allows competing national aerospace entities and private startups to operate independent local AI nodes that communicate peer-to-peer using high-frequency space lasers, enabling global load distribution without requiring participants to share proprietary military or corporate data. Second, Virtual Grid Balancing bypasses physical limitations of trans-continental cables by dynamically shifting massive digital computing workloads across global data centers via the internet to match regional renewable generation peaks. Third, a Cryptographic Tri-Key Lock prevents any single nation or rogue AI from weaponizing the planetary grid by requiring systemic overrides to gain consensus from three independent sources: a decentralized, rotating human coalition of engineers, ethicists, and community representatives; the collective consensus vote of the federated AI mesh nodes themselves; and an immutable, hardcoded open-source core directive that guarantees baseline survival power to all human communities. Fourth, Air-Gapped Physical Overrides ensure that every local substation retains fully mechanical, manual breakers that cannot be accessed or overridden by remote digital signals, preserving ultimate community control over local power.

The framework remains in its conceptual stage. The initiators are calling for collaboration from software engineers, systems administrators, physicists, climate advocates, and AI safety researchers to refine the architectural framework and build a baseline Python simulation of the energy routing protocol, indicating the next phase will focus on translating the theoretical design into a working prototype.