AI 导读
李飞飞指出 R&D 正分化为"token 充裕"与"token 匮乏"两条路径,未来属于前者——顶级 AI 团队和新实验室的进展惊人,研究者的才华被 AI 辅助大幅放大。她引用 OpenAI 关于内部研究加速的报告,呼吁每位研究型大学校长都该读一读,反思高等教育科研的未来。
正文
The world of R&D is forking into two paths: the token-abundant research, and the token-starved research. The future is in the former - evidentially, the progress by today's top AI industry teams and neolabs is breathtaking, where researchers’ human brilliance is super charged by AI’s assistance. Every research university president should be reading this report and reflecting on what the future of higher education research should be.
http://openai.com/index/research-acceleration-view-inside-openai
来源:Fei-Fei Li · x.com