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Ling-2.6 and Ring-2.6 achieve unprecedented efficiency in agentic intelligence, enabling instant responses and deep reasoning at trillion-parameter scale.
Forget benchmarks - SuperValid's capability-aligned validation loss robustly predicts downstream LLM performance across architectures, scales, and training distributions.
Ditch SwiGLU's quadratic instability: PowLU offers a rational power function that stabilizes LLM pre-training without sacrificing performance.
