UC Berkeley professor refuses to grade his students’ homework after noticing worrying trend: ‘No point’
Richard Borcherds, a Fields Medal–winning mathematician, now grades on completion after seeing students use AI to earn top scores.
The problem with this is, you rapidly end up with students who don't learn how to do the math themselves, and who only know how to ask an AI to do the work for them. It's hard to see a way out of it in a system where the students are competitively graded against each other. The ones who genuinely want to learn, but who can't work as fast as the AI, will inevitably suffer lower grades compared to the ones who use AI to do the work, so the system automatically hands a competitive advantage to the students who use AI to do their homework. With the consequence that, within a short period of time, those students are reduced to dependency on the AI and become unable to do the work by themselves, so the educational process becomes self-defeating. Or, you could say, the educational process trains them to use AI, and preferentially selects for those students who are the most adept at using it.
You may as well hand the students an answer book and tell them they can either do the work themselves, or copy the answer from the book and hand that in as their own work. Apart from anything else, if no-one is allowed to make 'mistakes', no one will be able to learn from their 'mistakes'.
The same is going to be true of many other fields. The result is 'programmers' who can't program, 'doctors' who don't know medicine, 'engineers' who don't understand engineering, etc. Everything becomes "vibe". If the AI ever gets switched off, they will be lost.
And the corollary to that process is the concentration of economic power, within an ever smaller segment of the population. Human intelligence no longer has value. You're either in the 0.001%, or you're a peasant.
Is this the future? Discuss...