base-hunt

Wassup guys, today i want to introduce to you about SPEX on @wardenprotocol 

So let's dive in together 🔥🔥🔥

Warden brings AI to web3, enabling any application, protocol or smart contract to integrate safe AI.
|

https://link3.to/wardenprotocol |

(1/2) Key feature of SPEX

🟩 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.

🟩 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).

🟩 EFFICIENCY FOR AI WORKLOADS 

It is designed for non-deterministic outputs (such as AI model inferences) and can efficiently verify large-scale computations.

🟩 PARALLELIZABLE & SCALABLE

SPEX allows multiple verifiers to check AI computations in parallel, making it suitable for large, complex tasks.

(1/3) How SPEX work in warden protocol 

💚Computation: An AI model or other complex computation is performed by a solver.

💚Proof Generation: The solver produces a lightweight statistical proof of the computation.

💚Verification: 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


♥️ Thanks for reading♥️

(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.