NVIDIA's AVO agent scores 100% on ARC-AGI-3, beats FlashAttention-4 in kernel optimization
MickeySteamboat · x · 2026-08-22
NVIDIA's new AVO agent architecture achieved 100% on the ARC-AGI-3 public set, completing all 183 levels across 25 environments. While the Claude Opus 5 model baseline scores around 30%, integrating it into AVO with persistent memory, supervision, and tools yields perfect performance. Previously, the same architecture ran autonomously for 7 days to optimize GPU kernels, exploring 500+ directions and producing kernels up to 10.5% faster than FlashAttention-4. This demonstrates that the AI frontier is shifting from the model itself to the entire agent system built around it.
Related event: NVIDIA's AVO Agent Hits 100% on ARC-AGI-3 Public Set(22 posts)→
More from coding & agent
- Vercel Connect adds MCP Events in public beta for event-driven agents — cramforce · 2026-10-16
- PE operating partner shares real agent deployments: 59/60 accuracy at $250/month — alex_verem · 2026-10-16
- Dev: live voice + tool-calling + image gen now combine into a workable 'Her'-like experience — andreisavu · 2026-10-16
- Kinex: a harness that connects coding agents to any physical robot for scalable learning — daibond_alpha · 2026-10-16
- Developer rebuilds GitHub in 4 days: Keel makes agents declare intent before changing code — threepointone · 2026-10-16
- Stop using small models as judges with overloaded context, dev warns — xeophon · 2026-10-16