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Current AI systems struggle to conduct independent scientific research, with performance plummeting by nearly 50% when human guidance is removed.
Fine-grained MoE designs can outperform dense vision encoders while dramatically reducing latency, challenging the status quo in image and video understanding.
ROCS can triple the throughput of recommendation systems without sacrificing prediction accuracy, revolutionizing how we handle user requests in large-scale settings.
