Infographic #20: AI Models — Centralized vs. Decentralized

🔍 The Risks of Centralized AI

❌ Single Points of Failure — A system outage can disrupt AI availability.
❌ Bias & Censorship — AI outputs are controlled by a single entity, limiting transparency.
❌ Data Privacy Concerns — User data is stored and processed by centralized providers, increasing risks.

🚀 Cortensor’s Decentralized AI Solution
✅ Proof of Useful Work (PoUW) — Ensures AI tasks are computed fairly and validated transparently.
✅ Proof of Inference (PoI) — Cross-verifies AI outputs across multiple miners, eliminating manipulation.
✅ Resilient, Distributed Execution — Tasks are processed by independent miners, reducing central failure risks.
✅ Trustless & Scalable — No reliance on a single provider; AI runs securely across a decentralized network.

By integrating PoUW & PoI, Cortensor delivers trustless AI inference, eliminating centralized gatekeeping while ensuring accuracy, fairness, and security.

📖 Learn More About Cortensor’s AI Architecture
🔗 Documentation

#Cortensor #DePIN #AI #Decentralization #FairAI #TrustlessComputing