0G Labs: Verification Framework for Decentralized AI Training — TEE + Economic Incentives for 107B-Parameter Models
GlobeNewsWire / 0G Labs·medium signal
0G Labs published a technical framework on March 27 combining Trusted Execution Environments with economic incentive alignment to provide cryptographic proof that every training step executed correctly in decentralized runs. Their DiLoCoX-107B achieved 357x communication efficiency over standard methods on ordinary 1 Gbps internet. As training costs cross $100M heading toward $1B, a compromised run represents months of lost work — verified decentralized training becomes a trust layer, not just a cost optimization.