According to DeepLearning.AI, Samsung’s Tiny Recursive Model (TRM) utilizes iterative answer refinement and maintains a context of previous changes to tackle complex grid puzzles such as Sudoku, Mazes, and ARC-AGI tasks. TRM surpasses several large language models, including DeepSeek-R1 and Gemini 2.5 Pro, in benchmark tests targeting reasoning and problem-solving capabilities. This showcases a practical application of compact AI architectures, highlighting significant business opportunities for efficient, domain-specific AI models in industries where resource-constrained, high-precision solutions are critical (Source: DeepLearning.AI, Twitter, Dec 17, 2025).