Panel on the future of scientific research and education
summary
A live panel debates which research skills survive widespread LLM use and gives concrete examples: a student-run “Resurrected Scientists” ChatGPT experiment, heavy daily use of Claude 3.5 Sonnet, Copilot and Undermined, and frustration when Overleaf/LaTeX breaks. Core claims are that epistemic humility and the ability to ask the right questions remain essential, that mapping domain questions into ML problems is the hard part, that some labs require 100‑word abstracts before coding, and that automated “AI scientist” pipelines already generate publishable‑style computational papers.
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chapters (9)
- 0:00Introduction
- 5:03Human researcher skills
- 18:56Obsolete research skills
- 27:17College majors in AI era
- 37:24AI collaboration skills
- 46:06Teaching critical thinking
- 47:10AI in research education
- 57:57AI-assisted research methodology
- 1:07:28Q&A
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