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Warden SPEx: probabilistic sampling to verify non-deterministic AI outputs

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SPEx replaces costly full re-execution with probabilistic sampling of final outputs and intermediate states, catching malicious solvers and lazy ones. It supports non-deterministic AI work and uses Bloom filters for state verification.

Key claims
Dual sampling checks full executions and intermediate states
Native support for non-deterministic processes
Targets regulated industries like finance
. @wardenprotocol provides apps/agents access to verified AI models leveraging a novel mechanism called "SPEx". - SPEx is a verifiable computing protocol that uses efficient, probabilistic sampling as an alternative to costly full re-execution of tasks. - It is specifically engineered to defend against systemic, adversarial manipulation where a solver might intentionally alter results for strategic gain, not just to catch incidental errors. - The protocol employs a dual-sampling mechanism: it checks random samples of full executions to guard against malicious final outputs and samples of intermediate states to detect lazy solvers who skip computational steps. - A key innovation is its native support for non-deterministic processes, making it uniquely suited for verifying AI and LLM outputs, using Bloom filters for cryptographic state verification. - It aims to extend a blockchain's trust and security perimeter to complex off-chain work, enabling auditable and provably correct execution for high-stakes, regulated industries like finance and autonomous systems.
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TL;DR on @wardenprotocol: - Warden is a purpose-built blockchain designed for verifiable AI, enabling autonomous agents and AI-driven dApps to operate across the interchain (via IBC & @hyperlane). - Uses probabilistic AI verification (SPEx), a novel proof system that verifies n

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