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Harvard professor Matthew Schwartz published an article on the Anthropic blog demonstrating using large language models like Claude, GPT, and Gemini to complete a quantum chromodynamics paper in two weeks (normally taking a year), and highlighted the strengths and weaknesses of LLMs in research. The author further proposed engineering fixes, including external computation modules, verification agents, and human oversight, emphasizing using LLMs as the core engine of scientific research.