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@mikozi
Wassup guys, today i want to introduce to you about SPEX on @wardenprotocol So let's dive in together šŸ”„šŸ”„šŸ”„
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@mikozi
(1/1) Statistical Proof of Execution (SPEX) is a sampling-based verifiable computing protocol that ensures the integrity of computational tasks through probabilistic guarantees. This includes tasks with potentially non-deterministic outputs, such as those involving large language models (LLMs) or stochastic training pipelines.
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(1/2) Key feature of SPEX šŸŸ© STATISTICAL VERIFICATION Instead of re-executing computations (which can be costly), SPEX uses probabilistic sampling to verify the correctness of complex workloads with statistical confidence. šŸŸ© LIGHTWEIGHT PROOFS It generates compact, cryptographic proofs (using structures like Bloom filters) to validate AI model outputs without the heavy overhead of traditional methods like Zero-Knowledge Proofs (ZKPs).
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šŸŸ© EFFICIENCY FOR AI WORKLOADS It is designed for non-deterministic outputs (such as AI model inferences) and can efficiently verify large-scale computations. šŸŸ© PARALLELIZABLE & SCALABLE SPEX allows multiple verifiers to check AI computations in parallel, making it suitable for large, complex tasks.
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@mikozi
(1/3) How SPEX work in warden protocol šŸ’šComputation: An AI model or other complex computation is performed by a solver. šŸ’šProof Generation: The solver produces a lightweight statistical proof of the computation. šŸ’šVerification: Verifiers validate the proof without needing to re-run the entire computation, ensuring correctness with high statistical confidence. For detail : https://docs.wardenprotocol.org/learn/spex ā™„ļø Thanks for readingā™„ļø
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