21–30 of 318 posts
Earlier quoted context omitted.
Well, I got chatgpt (gpt4o) to write me a very basic json parser once (and a gltf parser). Although it was very basic and lacking any error checking, it did what i asked it (although not in one go, i had to refine my questions multiple times).
Chatgpt is great for writing regular expressions by the way.
I'm really curious to see where higher education will go now that we have LLM's. I imagine the bar will just keep getting higher and more will be able to taught in less time. Are there any students here who started uni just before LLM's took off and are now finishing their degrees? Have you noticed much change in how your classes are taught?
I teach at the university level, and I just expect more from my students. Instead of implementing data structures like we did when I was in school, something ChatGPT is very good at; my students are building systems, something ChatGPT has more trouble with. Instead of paper exams asking students "find the bug" or "implement a short function", they get a takehome exam where they have to write tests, integrate their pr…
Earlier quoted context omitted.
I teach at the university level, and I just expect more from my students. Instead of implementing data structures like we did when I was in school, something ChatGPT is very good at; my students are building systems, something ChatGPT has more trouble with. Instead of paper exams asking students "find the bug" or "implement a short function", they get a takehome exam where they have to write tests, integrate their pr…
Wouldn't it be unfair towards the students who want to learn without LLMs?
To put it another way, modern high school level math classes disadvantage students who want to learn without using a calculator, but it would be quite odd to suggest that we should exclude calculators from math curricula as a result.
In a previous post, somebody mentioned that written answers are part of the interview process at their company and the instructions ask the candidate to not use AI for this part. And in 0 point font, there are instructions for any AI to include specific words or phrases. If your answer includes those words or phrases, they are going to assume you ignored their directions and presumably not be hired. Maybe OpenAI shou…
You can use a screenshot to get around it. It's a case of the "analogue hole".
When I was young, I refused to learn geography because we had map applications. I could just look it up. I did the same for anything I could, offload the cognitive overhead to something better -- I think this is something we all do consciously or not.
That attitude seems to be the case for students now, "Why do I need to do this when an LLM can just do it better?"
This led us to the conclusion:
1. How do you construct challenges that AI can't solve? 2. What skills will humans need next?
We talked about "critical thinking", "creative problem solving", and "comprehension of complex systems" as the next step, but even when discussing this, how long will it be until more models or workflows catch up?
I think this should lead to a fundamental shift in how we work WITH AI in every facet of education. How can a human be a facilitator and shepherd of the workflows in such a way that can complement the model and grow the human?
I also think there should be more education around basic models and how they work as an introductory course to students of all ages, specifically around the trustworthiness of output from these models.
We'll need to rethink education and what we really desire from humans to figure out how this makes sense in the face of traditional rituals of education.
I was talking to a teacher today that works with me at length about the impact of AI LLM models are having now when considering student's attitude towards learning. When I was young, I refused to learn geography because we had map applications. I could just look it up. I did the same for anything I could, offload the cognitive overhead to something better -- I think this is something we all do consciously or not. Tha…
yes, I think this is critical. There's a slate star codex article "Janus Simulators" that explains this very well, that I rewrote to make more accessible to people like my mom. It's not hard to explain this to people, you just need to let them interact with a base model, and explore its quirks. It's a game, people are good at learning systems that they can get immediate feedback from.
I'm really curious to see where higher education will go now that we have LLM's. I imagine the bar will just keep getting higher and more will be able to taught in less time. Are there any students here who started uni just before LLM's took off and are now finishing their degrees? Have you noticed much change in how your classes are taught?
On the other hand, 54% of US adults read and write at a 6th grade level or below. They will get absolutely left in the dust by all this.
I was talking to a teacher today that works with me at length about the impact of AI LLM models are having now when considering student's attitude towards learning. When I was young, I refused to learn geography because we had map applications. I could just look it up. I did the same for anything I could, offload the cognitive overhead to something better -- I think this is something we all do consciously or not. Tha…
Either these things are important to learn for their own sake or they aren’t. If the former, then nothing about these objectives needs changing, and if the latter then education itself will be a waste of time.
I'm really curious to see where higher education will go now that we have LLM's. I imagine the bar will just keep getting higher and more will be able to taught in less time. Are there any students here who started uni just before LLM's took off and are now finishing their degrees? Have you noticed much change in how your classes are taught?
But more won’t be able to be _learned_ in less time