Large Language Models and Research Progress: A Q&A With Ricardo Vinuesa

Michigan Aerospace Engineering professor Ricardo Vinuesa argues that as large language models (LLMs) become more capable, their use in research requires clearer guidelines and regulation. He emphasizes that while these tools can accelerate early-stage work, overreliance could stifle creativity and introduce risks like bias or fabricated data. Read the full Q&A to see why transparency and human judgment remain essential for real scientific progress.