Unverified50% confidenceBenchmarkExact time
DOS 3 Note adopts a new reinforcement learning scheme called Tempo and scored over 30% on the ARC-AGI 3 benchmark.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/8/2026
First Seen
Valid until: 12/7/2026
Sources
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Related Claims
Unverified在完全相同的模型下，仅靠Harness策略优化，ARC-AGI-3得分从13.3%提升到38.3%，同时输出Token节省约六倍69% similarUnverifiedOpus 5在ARC-AGI 3上的得分是次优模型的三倍59% similarUnverifiedDGM automatically more than doubled baseline performance on the SWE-bench software engineering benchmark, achieving an absolute improvement of 30 percentage points58% similarUnverifiedAfter GRPO reinforcement learning, checkpoints using TailSFT achieved a final pass@1 improvement of up to 3.9 points.57% similarUnverifiedThe o3 model achieved 87.5% on the ARC-AGI test in December 2024, and during the same period reached a rating of 2727 on Codeforces (surpassing 99.95% of human competitors).57% similar
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