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NVIDIA AVO

Nvidia's general-purpose agent architecture for long-horizon autonomy, which lifted Claude Opus 5 to a perfect score on ARC-AGI-3 and evolved GPU kernels past FlashAttention-4.

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AVO is Nvidia’s agent architecture for long-horizon autonomy, presented as a research project rather than a product. Its first reported week went to evolving GPU kernels on DGX B200 systems, exploring more than 500 directions to beat cuDNN by up to 3.5% and FlashAttention-4 by up to 10.5%; transferred unchanged to ARC-AGI-3 with Claude Opus 5 inside, it swept all 183 levels from a 30% model baseline. In this corpus it is the clearest case of the harness generalizing while the weights stay fixed.

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