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Up to 50.2% of unauthorized requests can be falsely authorized by LLM memory, with executors blindly acting on these permissions 98.6% of the time.
Kimi Delta Attention with Muon outperforms other architectures in validation loss, while Gated DeltaNet with AdamW leads in training throughput, revealing critical trade-offs in linear attention designs.
