The younger generations do seem to be embracing AI more, but mainly because it can do their homework for them without requiring them to learn anything. For now at least, until curriculums have time to adjust to this new reality.
If I was 14-15 around this time, when I first picked up programming, but had an LLM on my side, I'm not sure what the outcome would be, to be honest. I'd use them, that's for sure, but once I got a working application out of them, would I be curious enough to understand as much as I understand now, if it wasn't required? Or would I have been able to learn even more and faster, since I wouldn't have been all alone banging my head against some trivial problem for weeks?
Would even that have some downsides in the long-term, since the process of banging one's head could be crucial to rewiring your brain to understand new concepts.
But then on the other hand, the point was never to learn, but to create. I'm still not sure if I'd be better or worse at actually creating things if I had LLMs in the beginning or not.
All that digging now translates to expertise that is critical and potentially lucrative. But if it's only going to get better then for how long will this be true?
thanks for this lil' dose of copium, so at least it qualifies as character buildup what a relief
This was my experience. I’m not a programmer but I enjoy playing around with Python. I work with it a lot more and make far more complicated programs now because I don’t have to spend half an hour trying to find a solution to my problem on StackOverflow.
The issue I found is that I don’t bother trying to build anything on my own anymore, so even though I’ve learned a lot about designing programs, my knowledge of Python has probably actually declined.
I remember in an interview with Marc Andreessen he spoke about introducing his 8 year old to chat gpt. He described the moment as monumental, likening it to "bringing fire down from the mountains." However, his son was unimpressed by the technology, responding, "It's a computer. Of course you ask it questions and it gives you answers. What else is it for?"
AI in certain hands will be fine. In other hands it will be a disaster for the person that uses it, because they will not perform the reps they need to really be able to think. Believing a computer is a magic box that gives answers is not great, it's adjacent to "believe and do what the computer tells you".
I'm suffering from quite a bit of ADHD symptoms - for the past 20 years - I already got an diagnosis and I can survive even if it's a shitty thing to have - but it feels like now everyone around me shares the same fate and people seem to forgot how to work or study or worse - never learned it. I've used to be an outlier, sharing my fate with 2 or 3 other people in the class back when doing the bachelors - we failed in spectacular ways in some areas while outshining everyone else in other areas but it was a honest struggle. I'm okay with that - I'm not made to be a researcher or writing a PhD in computer science or math. But I can work in my area of expertise - however what is happening with all these graduates?
Is this the fault of AI? Not really but society isn't really prepared for what is happening now. People correcting the exercises tell me it's impossible to proof LLM usage and 90% of the results are just ChatGPT - funnily enough this was a machine learning 101 class.
Another thing I've noticed that often when looking at LLMs prompts from other students and their application of the results that they kind of don't help them to really learn and improve yourself - you are stuck on your level of knowledge and so are your prompts and the quality of questions you ask and the way you handle the answers which results in very weird effects. So you are talking with your group member to load some binary serialized arrays for a computer vision projects and use numpy to do some calculations. Next meeting you have some code that does something but it's using another dataset and completely different code, runs 100x slower and solves a slightly different problem. All you get is a shrug. I'm better off watching Youtube or working than staying in university. It's not the fault of the teachers but I've came back because of human interaction and because I don't want to learn alone. This is almost gone here.
All of this - even if it sucks - would be somehow okay but the thing I'm scared of the most lately is the blatant dishonesty and lying I've been seeing in other students about their usage of AI - it's creating a kind of person that only pretends to be able to understand what it's doing but fails reliable to actually understand what LLMs tell them. I'm not made to deal with this and I'm getting angry. Tell me you've used an llm and you are not sure about the results, we can talk about it, work through it and improve upon it. Then it's actually a great thing to have LLMs - but I'm not seeing it.
This will be interesting - not in the good way.
This is a funny post because this was my experience 20 years ago in college. Nothing new from LLMs here. My big takeaway from my experience in different universities (I attended several different ones) is that the content in all the universities is largely the same - the main difference is that you are picking the caliber of your classmates. My classmates in one technical, well-regarded university were MILES beyond the classmates in a local second-tier state university in terms of intelligence, passion, and drive; and those classmates were more attentive and intelligent than the ones in a third-rate community college.