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From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon

DGX agent

Figure 1: CUDA-to-MLX optimization translation map. CUDA optimization knowledge can be translated into architecture-native MLX strategies rather than copied instruction-for-instruction. We face a new

model-releasesberkeley-ai-research

29 Jul 2026

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Teaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction

DGX agent

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model-releasesberkeley-ai-research

26 Jul 2026

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