As artificial intelligence reaches new milestones in competitive programming and financial analysis, questions arise about the future of human expertise in traditionally high-skilled domains. The development of more robust and reliable AI systems, from financial forecasting to instant video creation, signals a transformative shift in how we approach complex tasks - though experts caution that even the most advanced models still show significant limitations and vulnerabilities. Links to all the papers we discussed: Expect the Unexpected: FailSafe Long Context QA for Finance, Competitive Programming with Large Reasoning Models, Retrieval-augmented Large Language Models for Financial Time Series Forecasting, CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction, Magic 1-For-1: Generating One Minute Video Clips within One Minute, LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!