I read the discussion you linked. The Transformer and MLP examples you gave illustrate the learning process I hope ThoughtDAG can handle: entering a branch along a question without disrupting the main thread; understanding it before deciding which content to bring back, rather than letting the entire exploration automatically pollute the subsequent context.

If you'd like to try it, I'd love to know if it matches your original vision of the learning method, and where it might still interrupt the process. If convenient, please share a screenshot of the anonymized canvas, an anonymous export, or a short screen recording. Seeing a real learning process would be very helpful for improving ThoughtDAG.