Nvidia reported a 100.00 RHAE score on the ARC-AGI-3 public set using its Agentic Variation Operators (AVO) system, up from Claude Opus 5's 30.16% published score, by wrapping the same model family in…
NVIDIA's AVO coding-agent system scored 100% on the public ARC-AGI-3 benchmark, completing all 183 levels in 6,624 environment actions, according to NVIDIA AI. The system, powered by Claude Opus 5, us…
Nvidia's AVO agent, powered by Anthropic's Claude Opus 5, achieved a 100% success rate on the ARC-AGI-3 benchmark, completing all 183 levels across 25 environments on August 21 while using 12% fewer a…
Researchers developed VISTA, an auditing tool that detects biases in vision-language models by coupling semantic entropy with divergence analysis. In tests, VISTA identified 142 suspicious cases acros…