In this episode, we talked with Ahmad Birami, an ex-researcher at Google, to discuss various topics in AI. We explored the complexities of reinforcement learning, its applications in LLMs, and the evaluation challenges in AI research. We also discussed the dynamics of academic conferences and the broken review system. Finally, we discussed how to integrate theory and practice in AI research and why the community should prioritize a deeper understanding over surface-level improvements.