Fundamental Determinism of Neural Networks and Security

The article proposes viewing AI safety as an engineering process,
emphasizing that neural networks should be deterministic under fixed
inputs, weights, and execution conditions. Any observed variability is
considered a defect in hardware, software, or algorithms, highlighting
the need for strict control and reproducibility in AI systems.