Eliminating hallucination through 7-agent Byzantine peer verification. Combining tree-of-thought deliberation, automated theorem proving, and real-time AST execution environments.
Every complex prompt is partitioned into 7 specialized neural roles before synthesis.
Aggregates voting weights, executes AST sandbox verification, and commits final response only when 5/7 agreement threshold is mathematically proven.
Translates informal mathematical hypotheses into Lean 4 interactive theorem proving scripts to eliminate false proofs.
Relentlessly attacks draft arguments looking for edge-case contradictions, memory leaks, and logical fallacies.
Writes bespoke scratchpad Python/Wasm interpreters to calculate deterministically instead of predicting numbers.
Spawns Monte Carlo search trees over latent reasoning paths, pruning low-probability branches in parallel.
Detects rogue or hallucinated token streams and enforces cryptographic signature verification on agent message buses.
Observe the multi-agent arbitration pipeline resolving a non-trivial benchmark prompt.
We introduce a formal Byzantine Fault Tolerant protocol for large language model ensembles, demonstrating a 94% reduction in catastrophic reasoning failures under adversarial perturbation.
Empirical benchmark evaluating Lean 4 theorem generation coupled with real-time WebAssembly compiler sandboxes, achieving state-of-the-art accuracy on MiniF2F mathematical benchmarks.