Crypto World Model, From On-Chain Data to Intelligence
summary
Claims a first crypto world model — a crypto-native foundation LLM trained on on-chain signals to rival GPT-3, using human-crafted labels and natural-language interaction. The pipeline processes 50 billion on-chain events and stores 2 PB data lake collected over two years, feeds a three-layer model trained with a custom decentralized Adora algorithm, uses a “generate to default” random-parameter defense, deploys on Cosmos, and returns answers and risk/trade insights in about one second.
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