Smarter computer agents, better reasoning, and robot manipulation breakthroughs.Today’s PapersScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data🔗 arXiv:2509.15221➡️ Large dataset across 6 OSs and 3 task domains; closed-loop pipeline of auto-agents + human curation; big benchmark gains for GUI agents.FlowRL: Matching Reward Distributions for LLM Reasoning🔗 arXiv:2509.15207➡️ Shifts RL objective from reward maximization to reward distribution matching; preserves diverse reasoning paths; strong math & code benchmark results.RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation🔗 arXiv:2509.15212➡️ Two-stage pretraining on 12M ego-centric videos + trajectory-aware modeling; adds ActionVAE for action compression; stronger transfer to real robot tasks.

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