Interactive Visual Puzzle Task Generation

via “interactive-visual-puzzle-task-generation”

Abstract reasoning benchmark with $1M prize for AGI.

Unique: Implements tasks as interactive game environments with agent-based exploration rather than static puzzle-solving; agents must discover patterns through action-observation cycles with memory and goal acquisition, mirroring human learning efficiency on novel tasks. Rendering modes support both human-interpretable terminal output (+2K FPS without rendering) and programmatic API access for scalable evaluation.

vs others: Differs from static benchmark suites (MMLU, ARC-Easy) by requiring agents to actively explore and plan within unfamiliar environments, measuring learning efficiency and abstract reasoning rather than knowledge retrieval or pattern matching on familiar domains.