[OpenAI Co-Founder: Significant Technical Uncertainties Remain for RSI, RL and Continuous Learning as Key Battlegrounds] According to a summary report from the Dwarkesh Patel channel interview, multiple AI researchers, including OpenAI co-founders John Schulman, Charlie O’Neill, and Beren Millidge, pointed out during discussions that Recursive Self-Improvement (RSI) may not necessarily lead to a short-term 'intelligence explosion.' The current 'Transformer + Reinforcement Learning' paradigm could face asymptotic bottlenecks in generalization, continuous learning, and sample efficiency. The guests believe that advancements in large models are shifting from pure computational scaling to data efficiency and sparse/modular architectures. Distillation and continuous learning based on real-world deployment data will become critical pathways for smaller labs to counteract the monopolization of models by leading labs.