The problem is that "data years" are non-linear. We didn't have the germ theory of disease until the late 1800s. So do students get 35,000+ years of microbiology knowledge the moment we teach germ theory of disease? But only 35,200+ years if we teach about innate lymphoid cells?
There's also data quality and experience. 80% of all papers published right now are garbage. I doubt AI can tell the difference.
For experience, stick an elite high school student in the lab, and they still have a learning curve. It will be faster than the others, but it will lag the book knowledge.
The problem is that "data years" are non-linear. We didn't have the germ theory of disease until the late 1800s. So do students get 35,000+ years of microbiology knowledge the moment we teach germ theory of disease? But only 35,200+ years if we teach about innate lymphoid cells?
There's also data quality and experience. 80% of all papers published right now are garbage. I doubt AI can tell the difference.
For experience, stick an elite high school student in the lab, and they still have a learning curve. It will be faster than the others, but it will lag the book knowledge.