Nvidia’s AVO agent completes ARC-AGI-3 benchmark with 100% success rate

Nvidia just did something no AI system has managed before: a perfect score on ARC-AGI-3, the interactive reasoning benchmark designed to test whether AI agents can figure out unfamiliar environments without anyone holding their hand. The company’s AVO system, short for Agentic Variation Operators, completed all 183 levels across 25 public environments on August 21. It did so while requiring 12% fewer actions than VISTA, the previous top performer. The underlying model powering AVO is Anthropic’s Claude Opus 5, which on its own manages roughly 30% on the same benchmark. Nvidia’s system-level architecture turned that into 100%. What ARC-AGI-3 actually tests ARC-AGI-3 isn’t your typical AI benchmark where a model answers multiple-choice questions or generates text. It’s closer to dropping an agent into a video game it’s never played and asking it to figure out the rules, objectives, and win conditions entirely on its own. The benchmark requires agents to discover patterns, navigate unfamiliar environments, and make decisions without explicit instructions. The 25 environments and 183 levels are designed to expose whether an AI system can genuinely reason and adapt, or whether it’s just...