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Channel AI founder Luke Orthwine proposes a new software development methodology: shifting programming thinking from traditional chess-like single-threaded linear thinking to real-time strategy game (RTS) style high concurrency, macro scheduling, and saturation attack to achieve efficient development in the AI Agent era.
OpenCompass is a one-stop, scalable, high-concurrency evaluation platform for large language models, supporting diverse benchmarks and modular design to unify and standardize LLM assessment.
D-VLA proposes a high-concurrency distributed asynchronous reinforcement learning framework for Vision-Language-Action models, using plane decoupling and a swimlane pipeline to improve throughput and efficiency in large-scale embodied AI training.