Alex Garcia
@alexgarcia
Decentralized Physical AI Infrastructure Stack (DePAI)—a blueprint for how AI agents, robots, and decentralised compute will work together in the physical world. It’s essentially the “backend” of robotic autonomy at scale. Key Layers: 1. Data Collection → Aggregation → LLM Training • Real-world data is aggregated and used to train Physical AI Agents—LLMs tailored for real-world tasks. 2. Decentralized Compute • Compute from Web2 or decentralised sources powers these agents. 3. Agents Control Physical Machines • AI agents get deployed to robots/machines that can act autonomously. 4. Spatial & Machine Coordination • Gives machines awareness of their surroundings and allow them to transact and communicate We’re witnessing the birth of a real-world AI economy where: • Drones, delivery bots, robots, and autonomous vehicles act as independent agents. • Are trained on decentralised data. • Powered by decentralised compute. • Coordinated through spatial maps and smart contracts.
1 reply
0 recast
1 reaction
Alex Garcia
@alexgarcia
This is Web3 meets robotics meets AGI. It’s no longer just about virtual AI agents. We’re now building the rails for AI agents to operate in the physical world, at scale, and without centralised control. This is the infrastructure for: • Autonomous agents that earn. • Tokenized machine labor. • A decentralised “robot workforce”. If you’re in AI, crypto, robotics, or infrastructure, this stack is your future.
0 reply
0 recast
0 reaction