Then the student could just ask the AI to simulate a thesis defense and learn answers to the most likely questions.
The funny thing is, they would actually learn the material this way, through a kind of osmosis. I remember writing cheat sheets in college and finding I didn’t need it by the end.
So there are potential use cases, but not if the university doesn’t acknowledge it and continues asking for work that can be simply automated.
Perhaps some people can’t afford it. I have the luxury of paying for weekly therapy but its probably one of my biggest line item expenses.
Yeah, it’s like me never having alcohol before and walking into a frat party as a freshman. Sometimes it’s better to come prepared.
People who track performance (like METR, a nonprofit) indicate that progress is, if anything, speeding up. Most people’s use case is so simple they can’t detect the difference. However for cases like complex problem solving, agentic tasks, etc you can in fact see significant progress happening. This should be concerning if you think the world isn’t ready for labor displaced by LLMs.
I think this may be a skill issue on your part.
I’m curious about the scientific consensus continually undershooting. At a certain point, if you’re always updating in one direction, shouldn’t you overcorrect a bit?
Thank you for taking one for the team.