Quintin Pope

Quintin Pope, PhD student and AI alignment researcher focused on NLP and alignment, defends the view that RLHF and imitative modeling largely solve current alignment challenges. He and Liron debate whether training-data limits, chain-of-thought, mechanistic interpretability, and phase transitions mean systems will stay controllable or could produce goal-directed superintelligence. They also discuss likely capabilities by 2028 and who will build powerful AIs.