Challenges

Challenges in TIG are carefully selected computational problems that form the foundation of its optimizable proof-of-work (OPoW) system. Each challenge represents an "asymmetric" problem – computationally intensive to solve but straightforward to verify – drawn from critical scientific and technological domains like boolean satisfiability, vehicle routing, and knapsack optimization. Challenges serve as the backbone of TIG's incentive structure, where Benchmarkers compete to find solutions at various difficulty levels while balancing their computational efforts across multiple challenges. Each challenge generates deterministic instances based on seeds and difficulty parameters, with solutions being verified through both complete and probabilistic mechanisms to ensure network efficiency. The system employs innovative mechanisms like Pareto frontiers to dynamically value solutions of different difficulties, and solution signature thresholds to regulate network verification load. Through a planned scientific committee, TIG will progressively introduce new challenges from diverse fields including artificial intelligence, biology, medicine, and climate science, ultimately directing computational resources toward solving real-world scientific problems. This structured approach to challenge selection and management ensures that TIG's proof-of-work system remains both computationally meaningful and economically sustainable, while maintaining decentralization through mechanisms that prevent any single challenge from dominating the network's resources toward solving real-world scientific problems. This structured approach to challenge selection and management ensures that TIG's proof-of-work system remains both computationally meaningful and economically sustainable, while maintaining decentralization through mechanisms that prevent any single challenge from dominating the network's resources.