長期推廣校園轉型正義的東吳大學教授陳俊宏，則樂見這次爭議帶來的補課潮。他認為，這能讓原本沉默不談的歷史禁忌，轉化成公共認知，對平復集體創傷與強化民主韌性具正向意義。「不過，傷痕要真正平撫，取決於能不能深化理解這段歷史，並轉化爲長期教育與制度工程，而不是只是短暫輿論熱度。」
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Can these agent-benchmaxxed implementations actually beat the existing machine learning algorithm libraries, despite those libraries already being written in a low-level language such as C/C++/Fortran? Here are the results on my personal MacBook Pro comparing the CPU benchmarks of the Rust implementations of various computationally intensive ML algorithms to their respective popular implementations, where the agentic Rust results are within similarity tolerance with the battle-tested implementations and Python packages are compared against the Python bindings of the agent-coded Rust packages:
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