Ashvin Nair discusses the limitations of early reinforcement learning and the pivot toward language models, where market potential far exceeds that of robotics. He recounts his time at OpenAI before ChatGPT's breakout, noting how progress in code generation outpaced expectations while benchmarks for AGI remain elusive. Organizational instability, especially around governance and leadership, has influenced technical direction more than pure capability. Despite setbacks, RL saw a resurgence in 2023 due to promising reasoning capabilities in smaller models, fueling rapid iteration across labs. At Cursor, tight integration between product and model development enables efficient, continuous learning from real user interactions. The company prioritizes practical improvements in data and reward systems over theoretical debates, focusing on tangible performance gains in coding tasks.