yavor-atanasov
Joined 13 years ago
Joined 13 years ago
During my university most courses had a good mixture of take-home assignments/projects and in-class exams. Yes, people could always cheat either through plagiarism (usually easily caught) or at the extreme by getting someone else to do the work (which I have never personally seen).
Anecdotal data around me shows:
* outright paper/assignment generation via LLM
* using chatGPT as a “professor” proofreading and polishing course work before submission (arguably good use but depends on the personal effort)
* avoiding reading by asking chatGPT for summaries
* using chatGPT to help explain various concepts (this is a good example of using LLMs as a source for learning…accepting that occasionally they can lie)
In a small classroom where a good teacher-student interaction happens, I guess it’s easier to catch people cheating. But some universities (maybe most) have massive classes where a professor may never have an actual conversation with some students. That context makes cheating harder to detect.
I accept my outlook on this may be a bit bleaker (hopefully), but saying it’s business as usual is at the other extreme.
“Don’t post generated/AI-edited assignments. School is for conversation between humans”
AI can be a great tool for learning, but also can pollute or completely hijack the medium for human interaction and learning.
Having HN flooded with AI generated content will be sad as I like reading it, but losing that same fight at schools will be detrimental.
I guess the decentralisation aspects of a given technology just means it's a resilient building block. And since the only way we make sense of things nowadays is through markets, it's inevitable we starting building and consuming centralised services.
I'm not saying centralisation is good or bad btw, but I do share the irony in your reply, mostly because I find it funny when a new tech is being sold as new way of doing something in a decentralised way.
https://github.com/bbc/chaos-lambda
It's always good to see this "chaos culture" being promoted as it drives best engineering practices in terms of architecting, testing and monitoring resilient systems. However it's also interesting to see how at times this space gets inflated, packaged and sold as this big complicated thing that requires "chaos engineers" to implement (almost like "agile" got inflated into a stand alone industry :)). It's just a set of good practices that engineers can do to improve critical systems.