"Learn how to do it yourself. Use the mechanical aids, but learn what you’re doing. A general problem with these large language models is that they will give you confident answers that are total nonsense, and if you don’t understand what you’re doing well enough, you will not recognize what the nonsense is."
The undefeatable Brian Kernighan on the joys of teaching and the sadness of genAI.
Thanks to @aka_pugs
for the link.
#BrianKernighan #teaching #HigherEducation #AcademicChatter #noAI #ComputerScience
Teaching keeps you young, or so says Professor Brian Kernighan
Computer science professor Brian Kernighan GS ’69 left a career in emerging computer science research to pursue his passion for teaching. He shared his perspectives on the evolution of the field of computer science, his interdisciplinary approach to this work, and his advice to aspiring programmers.