A notable achievement occurred in the AtCoder programming competition where a human programmer, known by the handle ‘Psyho,’ defeated OpenAI’s GPT-4 model. The competition, which took place on AtCoder’s platform, demonstrated that human expertise can still surpass AI capabilities in complex programming challenges. Psyho secured victory by solving all six programming problems in 1 hour and 55 minutes, while GPT-4 managed to complete only five problems in the allotted time. The competition highlighted several key aspects of human versus AI performance in coding: humans can still maintain an edge in strategic problem-solving, particularly in novel or complex scenarios; GPT-4, while powerful, showed limitations in handling certain types of programming challenges; and the human competitor’s experience and intuitive understanding of problem-solving strategies proved superior to AI’s pattern-based approach. The results suggest that while AI tools like GPT-4 are incredibly capable, they haven’t yet reached the level where they can consistently outperform top human programmers in competitive scenarios. This outcome has significant implications for the ongoing debate about AI capabilities in professional programming and reinforces the continued importance of human expertise in software development. The competition serves as a reminder that AI, while increasingly sophisticated, still has limitations when compared to human problem-solving abilities in specific domains.