Chris prior
oneofmanychris.bsky.social
Chris prior
@oneofmanychris.bsky.social
Mathematician who loves any form of entanglement and abusing cables.....
I suspect words might be had if this particular copy was found on your bedside table...
February 13, 2025 at 9:40 PM
Did you notice anything different with our approach to crosses/corners today ?
January 12, 2025 at 6:45 PM
I sense a paper 2 with twist then !
January 8, 2025 at 4:24 PM
Proteins get loads of their writhe from helical coiling, but proteins have lots of non local binding to hold it in place.
January 8, 2025 at 11:17 AM
I'm looking forward to hearing about that. On this paper, my only quick thought is that the one clear way a curve can build up significant writhe, which doesn't have anything to do with knotting, is helical coiling. Is it just that's teens to be prohibited in these in these simulations?
January 8, 2025 at 11:17 AM
Dragon content represents an excellent first post!
January 6, 2025 at 1:50 PM
I can't access that link, is it the epple article ?
December 29, 2024 at 7:14 PM
To be fair since I moved on here from X/twitter I've seen almost non of that and feel alot better about the direction of the team for it. You'd follow someone saying something interesting about tactics and the algorithm would throw ten people just mouthing off about the team. Not here so far...
December 15, 2024 at 2:49 PM
That's going to be quite an impact case study !
December 8, 2024 at 7:41 PM
I'm with the physics majors on that, "those? They're just some projects I have on, the go"
December 3, 2024 at 4:07 PM
This got a bit programming specific, but I think there are equivalent issues in most subjects.
December 1, 2024 at 1:22 PM
I'm sure there will be loads of issues encountered on the way, but I think it's best to start now and get it right, rather than fight the inevitable for years.
December 1, 2024 at 1:19 PM
So you can focus more on fundamentals.
December 1, 2024 at 1:18 PM
But then, some things, like say plotting scripts I don't really think are fundamentals, and god knows I've wasted so much time with them over the years, and which cost loads of time in class, can just be llm'd out.
December 1, 2024 at 1:18 PM
In short I think you can still give them their fundamental principles, just the style needs to change.
December 1, 2024 at 1:15 PM
In the past we could get away with the less labour intensive (for us) approach. But rather than bullishly stick to that and waste loads of time developing methods to stop students using llm's just accept we need to alter the approach.
December 1, 2024 at 1:14 PM
With gpt they can nail that without thinking. But if instead you present the code, and ask them what it is calculating, they can't then "cheat" but they still get the same point.
December 1, 2024 at 1:13 PM
Okay! Well the original notion was don't ban llm's. There are simple points like, e.g right now we would show a student code to add up 1 to 10 with a for loop, then as to modify to only do odd numbers or the square of them. Then turn it in.
December 1, 2024 at 1:09 PM
So we should teach how to use it practically.
December 1, 2024 at 12:32 PM
Yeah, but then I guess you need to arrange more complex problems where (you've checked) gpt wouldn't get the whole thing but can construct the constituent elements. I guess what I am saying is that is often likely how it will be used in practice in the "real world"
December 1, 2024 at 12:32 PM
Basically force them to asses its output to engage with it, rather than keep the current structure where they can just hand in its output without thinking and try to ban it.
December 1, 2024 at 12:20 PM
We're having this with our first year programming (python) gpt can basically nail all the assignments with little input. The thinking is we should be asking students to critique existing code (point out bugs, discuss efficiency).
December 1, 2024 at 12:14 PM