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AI models produce different outputs every time they're called. That's a problem for onchain consensus.
If nodes can't agree on a result, the network can't be trusted.
Deterministic LLMs fix this.
Same input. Same output. Across every validating node. No central API. No single point of failure. Every result verifiable onchain.
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