I would say DNA is more like a neural net than a neural net is like an actual brain. The complex interdependencies, redundancies, nth order optimizations accru

I would say DNA is more like a neural net than a neural net is like an actual brain. The complex interdependencies, redundancies, nth order optimizations accrued over a long time, conditional relevance of different inputs, etc. Code implies a possibility to understand the logic and write it out. The reality is we're going to be something much closer to trying to unpack a blackbox ML model with SHAP.