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Teacher averaging in MOPD, not just raw gradients, dictates student learning, with Adam's momentum and BF16 precision masking significant parameter shifts.
VideoGen-Agent is presented, a multimodal agent trained through multitask agentic reinforcement learning to use external tools for video generation to support learning tool use across video-generation tasks and show that the trained agent can benefit from subsequent advances in generation tools.
Recursive self-improvement in quantitative trading research leads to a groundbreaking Sharpe ratio of +2.50, showcasing the potential for autonomous systems to enhance investment strategies over time.
