Gonka PoW 2.0 introduces a novel approach to proof-of-work by transforming it into meaningful AI computation tasks. The system ensures all nodes perform identical tasks through a seed-driven mechanism, which deterministically initializes LLaMA model weights and generates uniform target vectors in high-dimensional space. This approach aims to enhance blockchain security while contributing to AI computation. To prevent cheating, Gonka PoW 2.0 employs several mechanisms, including a ProofBatch data structure, deterministic sampling, and statistical fraud detection using binomial tests. These features are designed to maintain the integrity of the computation process, ensuring that the system remains secure and reliable.