Opportunity Spaces
Four foundational infrastructure layers where PL can catalyze the open, decentralized substrate that autonomous AI and robotics systems require to operate at scale.
Open Compute Networks
Distributed infrastructure for AI training and inference beyond the hyperscalers
AI compute infrastructure is concentrated within a handful of hyperscalers and large labs, limiting experimentation and participation. Distr...
Agent Coordination Infrastructure
Identity, reputation, and coordination protocols for persistent autonomous agents
Agents currently operate as isolated tools rather than persistent entities capable of coordination, negotiation, and cooperation. The emerge...
Embodied AI & Robotics Data Networks
Robot fleets generating the continuous real-world training data that embodied intelligence requires
Embodied AI systems require vast quantities of real-world interaction data that is today scarce, fragmented, and expensive to generate. Larg...
Agent-Native Economic Infrastructure
Financial and coordination systems designed from the ground up for machine participants
Existing digital economies are designed for human participation. Autonomous agents lack the infrastructure for autonomous payments, contract...