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So Jensen Huang talked about decentralized AI training on the ALL-IN podcast and TAO pumped ALOT
Guess what, @0g_labs already proved it june 2025 (Almost a year ago) by releasing the DiLoCoX paper on arXiv for training AI models
They trained a 107 billion parameter model using 20 computers using only 1 Gbps internet
Compared to Bittensor Covenant 72B (which is a single trained model), DiLoCoX can train ANY model while making communication 357x more efficient
It has a full stack behind it: Compute, Storage, DA and Chain. Not a single project has all four layers
Team will speak abt decentralized AI in EthCC Cannes on 1 April, looking forward 🙌