NVIDIA said its general-purpose coding agent, NVIDIA AVO, scored 100% on the ARC-AGI-3 interactive reasoning benchmark. The company said AVO completed all 183 levels across 25 public environments. NVIDIA said the agent determined what actions to take without instructions, explicit rules, or stated goals. The result concerns ARC-AGI-3’s interactive reasoning benchmark and NVIDIA’s reported performance on its public environments.
twitter.com
1 min
8/21/2026
ARC-AGI-3 is the first interactive reasoning benchmark designed to evaluate human-like intelligence in AI agents. It requires agents to explore novel environments, acquire goals dynamically, build adaptable world models, and learn continuously, with a perfect score indicating performance that matches or exceeds human efficiency in every game.
arcprize.org
1 min
3/25/2026
NVIDIA said its general-purpose coding agent, NVIDIA AVO, scored 100% on the ARC-AGI-3 interactive reasoning benchmark. The company said AVO completed all 183 levels across 25 public environments. NVIDIA said the agent determined what actions to take without instructions, explicit rules, or stated goals. The result concerns ARC-AGI-3’s interactive reasoning benchmark and NVIDIA’s reported performance on its public environments.
twitter.com
1 min
8/21/2026
ARC-AGI-3 is the first interactive reasoning benchmark designed to evaluate human-like intelligence in AI agents. It requires agents to explore novel environments, acquire goals dynamically, build adaptable world models, and learn continuously, with a perfect score indicating performance that matches or exceeds human efficiency in every game.
arcprize.org
1 min
3/25/2026
NVIDIA said its general-purpose coding agent, NVIDIA AVO, scored 100% on the ARC-AGI-3 interactive reasoning benchmark. The company said AVO completed all 183 levels across 25 public environments. NVIDIA said the agent determined what actions to take without instructions, explicit rules, or stated goals. The result concerns ARC-AGI-3’s interactive reasoning benchmark and NVIDIA’s reported performance on its public environments.
twitter.com
1 min
8/21/2026
ARC-AGI-3 is the first interactive reasoning benchmark designed to evaluate human-like intelligence in AI agents. It requires agents to explore novel environments, acquire goals dynamically, build adaptable world models, and learn continuously, with a perfect score indicating performance that matches or exceeds human efficiency in every game.
arcprize.org
1 min
3/25/2026
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