Observed arrival · 2026-11-15
Logical Arbitrage: 32 agents, one NVIDIA card
Two engineers document research into fitting and training AI agents on fixed NVIDIA hardware, including an ARC-3 benchmark run and a public arena for model-written agents.
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- Researchers and builders working under GPU constraints
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- Its evidence notes list fourteen comparisons, including local improvements that failed to improve the public leaderboard.
Field notes
The ARC-3 account specifies a fixed test setup: one NVIDIA RTX PRO 6000, nine hours, and 110 hidden games with no internet. The site says its harness gives the model a Python sandbox, persistent notes, and checked play. It also links to fourteen paired local-versus-leaderboard comparisons and acknowledges that both submitted reinforcement-learning adapters scored lower than the package they were added to.
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