Today's tech breakthroughs reveal how artificial intelligence is becoming increasingly autonomous and creative, from AI systems that can reason without human guidance to virtual film directors crafting entire movies. As these developments blur the line between human and machine capabilities, researchers are reporting breakthrough performance in mathematical reasoning and problem-solving that rivals human experts, raising both exciting possibilities and important questions about the future of human creativity and decision-making. Links to all the papers we discussed: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning, FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces, Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback, VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding, Kimi k1.5: Scaling Reinforcement Learning with LLMs, Autonomy-of-Experts Models