That is not what their policy states. It specifically says they will sabotage even non-distillation attempts, such as distributed training pipeline design. And given that they are so far very nonperformant in classification accuracy, expect it to randomly include far more topics wide of the mark.
The fun part is that you will never know if your neural net classification project is getting silently sabotaged because their classifier doesn't work!
You could try actually reading the code that it wrote
Good luck understanding it and finding malevolent inefficiencies if it’s already necessarily better at optimizing training pipelines than everyone except some Anthropic and OpenAI employees. Not a new thing either, see fast16.