Nvidia says its general-purpose coding agent system AVO scored 100% across all 25 environments in the ARC-AGI-3 public set, completing all 183 levels (Terry Chen/NVIDIA Technical Blog)
Nvidia’s AVO agent system completed every ARC-AGI-3 public task, signaling a notable benchmark result for long-horizon autonomous coding agents.
Excerpt
<a href="https://developer.nvidia.com/blog/nvidia-avo-reaches-100-on-arc-agi-3-demonstrating-a-frontier-level-general-purpose-architecture-for-long-horizon-autonomous-agents/"><img align="RIGHT" border="0" hspace="4" src="http://www.techmeme.com/260821/i24.jpg" vspace="4" /></a>
<p><a href="https://www.techmeme.com/260821/p24#a260821p24" title="Techmeme permalink"><img height="12" src="http://www.techmeme.com/img/pml.png" style="border: none; padding: 0; margin: 0;" width="11" /></a> Terry Chen / <a href="https://developer.nvidia.com/">NVIDIA Technical Blog</a>:<br />
<span style="font-size: 1.3em;"><b><a href="https://developer.nvidia.com/blog/nvidia-avo-reaches-100-on-arc-agi-3-demonstrating-a-frontier-level-general-purpose-architecture-for-long-horizon-autonomous-agents/">Nvidia says its general-purpose coding agent system AVO scored 100% across all 25 environments in the ARC-AGI-3 public set, completing all 183 levels</a></b></span> — The research project elevates Claude Opus 5 from a 30% model baseline to 100% as part of the complete AVO agent system, showing that system design … </p>
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