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A proactive memory agent can significantly enhance decision-making in long-horizon tasks by preventing critical information from being forgotten.
Stronger coding agents can achieve higher success rates while requiring fewer user interventions, reshaping our understanding of effective coding assistance.
On-policy RL for machine learning engineering agents is now practical, thanks to a synthetic sandbox that slashes execution time by 13x while boosting performance by up to 67%.
