Implications involves things like https://ourworldindata.org/brief-history-of-ai + little extrapolation. Interestingly, as I look at that article, it appears AI is actually solving college level math now - https://blog.research.google/2022/06/minerva-solving-quantit.... I wish I'd had that when I was at University.
[0] Ironically, ChatGPT doesn't usually make that mistake, because it always tries to be calm and helpful it consistently makes a better-than-human attempt at reading comprehension whenever I've interacted with it.
Looking back, what use do you think you would have today by having it in university? I'm asking because I don't think such a help solving the exams would have helped in your career later. Yes, would have made an easier university time, and left you less prepared for after that. We can (continue to) use ChatGPT for everything, it's just this will be also eroding our own capacity to do that thing, less exercise of our mental muscle. Maths and puzzles are said to help maintaining mental health with age, by outsourcing them to AI we also lose faster our own I.
I find it easier to learn when someone (now, something) intelligent is on hand to explain the material. You both must be geniuses or psychics, because otherwise it is not clear how you gentlemen intend to learn otherwise.
Sounds like a sentence that was taken from some pulpiteer's sermon when talking about god or afterlife. In other words: this promise is rather some nice fairy tale for some naive nerds and investors who love to believe in it.
> I don't think they understand what exponential growth in processing power implies.
This is very easy: for the data points (x_i, y_i), you can draw a decent straight line through the data transformed data points (x_i, log y_i). Thus: exponential growth is just some fancy term for "we do linear regression/linear Taylor approximation in this transformed space". I'm deeply impressed by such deep mathematics *sarc*.