2,129 karma · joined March 23, 2022
We had to add a new significant assignment which was the student sitting down next to me and we both look at their code and I ask questions.
Our policy for the project wasn't even anti AI, it was simply "do not submit code you do not understand" so obviously we had to test understanding, but already with 90 students it was hard, I don't know how you would manage something like this with 500
...that many businesses exploit for profit.
At the bottom you also have other relevant links (usually to the website of the specific administrations of what you want to do) including reference to the current law that the page is based on (https://legifrance.gouv.fr is also great)
For what I used it for, it was never ambiguous in determining your situation
- ideas
- students
- problems
Basically, students to bring original ideas to try and solve existing problems and this generates new ideas and possibly new problems for new students to try and solve with new ideas and so on.
And he continued to say that the issue with LLMs in mathematics, is that he's afraid they could run out of problems, and so students wouldn't bother trying, and this could hurt understanding of mathematics as a whole.
It's totally not my field so I'm not sure what to think of it but it seems important
I France service-public.gouv.fr is amazing
https://www.service-public.gouv.fr/particuliers/vosdroits/F1...
Would it be intesting/useful to use jev to generate a block of text like LLMs do ?
Like asking it to pick the n + 1 word given the starting text (using it's choice primitive), but also asking n + 2,n+3 and so on at the same time.
Would it give coherent or useful results ? Or does the fact that it computes it "all at once" means it cannot make one of it's answer influence the other ones ?
Is this actually true ?
Shouldn't the code return 3 in the base case and 4 if the check for 2 was assumed to always hold ?
It's not bundled with the IDEs but it's available on github
But I frequently encounter two issues:
1. Careless text generation, that was never read and so the human never prompted the LLm for proofreading and so on, this results in a text/readme/documentation that is using way too much words to describe simple or mildly complex things
2. LinkedIn post/corporate-trying-to-seem-friendly type of text that is always writing like it has to convince you of something (frequent user of the "it's not just X - It's y" trope)
I find that for most AI generated texts, it defaults to my 2nd point, and the human often doesn't read it or is happy with it, whereas I would have been much happier reading the shorter version they would have written instead.
Or just give me the prompt directly
The justice system is slow, that's why the fines are slow to be collected, that's all.
But that doesn't solve the user sandboxing problem, flatpaks and xdg portals does.
Still, a lot of portals are still missing or not fully implemented, but it's getting there !
Appimages are not sandboxed
Now I'm looking into automated edits, because in my region there's a lot of open data published by the government/local cities about locations of various types of features, like bicycle holders or bus stops, and it would be nice to keep that updated automatically.
There are few contributions around there, mostly automated imports from like 2012.
It was very weird on it's own almost like the setting didn't matter. Or the researcher was being dishonest with what they shared to The Verge
This kind of bribing attempt doesn't seem to come from the "good side"