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#glm-5.3

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GLM-5.3 doubles its reported KernelBench-Mega speedupThe result compares with 11.1 times for GLM-5.2 and reportedly passes the benchmark's single-launch gate that the earlier version failed. The implementation used Kimi-Linear Decode on an RTX PRO 6000 and CUDA techniques including persistent CTAs, Int4 dequantisation and fused latent-attention handling.→Z.ai delays GLM-5.3 weights over cyber capabilitiesZ.ai said GLM-5.3 showed unusually strong performance on vulnerability discovery and exploit-development benchmarks. The company plans controlled access for selected security partners before delaying public weights for two weeks.→Z.ai delays GLM-5.3 weights over cyber capabilitiesZ.ai said GLM-5.3 reached unusually strong performance on vulnerability discovery and exploit-development benchmarks. The company will initially provide controlled access to selected security partners and delay public weights for two weeks.→