There’s a fascinating story about S Chandrasekhar (of Chandrasekhar limit fame) driving 100 miles to teach him every week. Teaching two students, the professor got a Nobel prize and the two students got a Nobel prize.
“ One story in particular illustrates Chandrasekhar's devotion to his science and his students. In the 1940s, while he was based at the University's Yerkes Observatory in Williams Bay, Wis., he drove more than 100 miles round-trip each week to teach a class of just two registered students. Any concern about the cost-effectiveness of such a commitment was erased in 1957, when the entire class -- T.D. Lee and C.N. Yang -- won the Nobel Prize in physics.”
There’s already some work looking into this[1]. The authors add invisible prompts in papers/grants to embed watermarks in reviews and then show that they can detect LLM generated reviews with reasonable accuracy (more than chance, but there’s no 100% detection yet).
Computational Scientist or Scientific Computer person, depending on Mars' position in the sky. Machine Learning for Physics, Chemistry and hairy scientific problems.
“ One story in particular illustrates Chandrasekhar's devotion to his science and his students. In the 1940s, while he was based at the University's Yerkes Observatory in Williams Bay, Wis., he drove more than 100 miles round-trip each week to teach a class of just two registered students. Any concern about the cost-effectiveness of such a commitment was erased in 1957, when the entire class -- T.D. Lee and C.N. Yang -- won the Nobel Prize in physics.”
Source: https://chronicle.uchicago.edu/951012/chandra.shtml