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Thanks for the thoughtful comments and links really appreciated the high-signal feedback. We've updated the article to better reflect the actual VAE-based AXOL1TL architecture (variational autoencoder for anomaly detection). Added the arXiv paper and Thea Aarrestad's talks to the Primary Sources.

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While you are at it:

> To meet these extreme requirements, CERN has deliberately moved away from conventional GPU or TPU-based artificial intelligence architectures.

This isn't quite right either: CERN is using more GPUs than ever. The data processing has quite a few steps and physicists are more than happy to just buy COTS GPUs and CPUs when they work.

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