Most important, R1 shut down some very complex ideas (like DPO & MCTS) and showed that the path forward is simple, basic RL.

This isn't quite true. R1 used a mix of RL and supervised fine-tuning. The data used for supervised fine-tuning may have been model-generated, but the paper implies it was human-curated: they kept only the 'correct' answers.