NitroGen AI Achieves Breakthrough Generalization Across Unseen Games At Scale
Artificial intelligence has long excelled in narrow, well-defined environments. Chess engines dominate grandmasters, and reinforcement learning agents conquer individual video games with superhuman precision. Yet a persistent limitation remains: generalization. Most AI systems collapse when placed in unfamiliar environments or tasks they were not explicitly trained on. This gap between narrow intelligence and adaptive intelligence represents one of the most difficult frontiers in AI research. A new open foundation model called NitroGen signals a major shift in how researchers approach this challenge. Developed by a collaboration of scientists from NVIDIA, Stanford, Caltech, the University of Chicago, UT Austin, and others, … Read more