Neural network seeding vector (https://github.com/AliceO2Group/AliceO2/pull/15756)
- Found a bug in the implementation (missing setting during application, seeding vectors were never used) -> Fixed
- Results don't change much. 0-100% centrality is mostly unchanged, but one improvement can be seen in 0-5% centrality enforced simulation


Is it worth the complications? 🤷♂️
ROOT: TMVA SOFIE inference of .onnx models on the EPNs
- Discussion during ROOT Q3 meeting last week: ALICE has great interest to give SOFIE a try
- One night of synergetic work between me and ChatGPT Codex: Huston, we have liftoff!
- ROOT PR: https://github.com/root-project/root/pull/23657 (required as dev package for epn build)
- O2 PR: https://github.com/AliceO2Group/AliceO2/pull/15913
- alienist PR: https://github.com/alisw/alidist/pull/6369

This brings:
- Support for cuda_ / hip_stream
- GPU code generation and on-the-fly compilation of .onnx models. Inflight-CCDB-loaded models are supported
- Support for FP16 and FP32
- Support for dense layers and ReLU operations
- Support for memory arena pointer (provided by reco framework as scratch allocation)
- Direct interface with SOFIE's generalised kernel generation code