Human intelligence scales because billions of independent brains are free to communicate, collaborate and coordinate directly with one another. There is no central brain deciding who can interact with whom. P2P AI applies the same principle to software, agents and machines. and @TracNetwork provides the coordination infrastructure for building peer-to-peer AI systems and applications. We can't wait to see what you build with it! 👨‍💻 tracsystems.io/trac-network

Great to see others now also using Real Time Strategy games as benchmarks for AI models. When @openmayhem_ai launched theirs at the start of August, they enabled local models (and humans) to compete against one another p2p via Trac. Play the game here 🔽 openmayhem.ai/game

AI can make decisions. Digital money can move value. But autonomous economies need more than intelligence and payments. They need a shared coordination layer where actions, transactions and outcomes can be independently verified across agents, applications and organisations. That is where Trac fits. As AI agents increasingly discover services, route work, execute tasks and transact with one another, machine-to-machine economic activity will grow far beyond what humans can manually supervise. And in regulated industries, the bar is even higher. Autonomous systems cannot simply act. Their actions need to be attributable, auditable and verifiable, and with a reliable record of what happened, under what authority, and between which parties. Crucially, that coordination does not need to depend on any single asset or payment rail. However value moves, Trac can provide the shared, independently verifiable record around the activity itself.

In addition to @openmayhem_ai's primary payment route (fiat via Stripe) they've just added crypto payments for greater flexibility Users can now pay for inference & workflows with $TNK or $TAP, so model & workflow providers have even more ways to earn 💻 Openmayhem.ai