Now, on the physics part, I would like to "see" the phase transition that you have in 2D. I don't know if that is missing from this simulation or if I am not looking at it with the correct eyes.
It’s faster but the LLM aspect is unusable. The diffing is still slow as molasses and the chat is very slow also. LLM wise it’s a joke vs cursor. But it is less laggy (because cursor is basically vibe coded crapware that they release multiple bug fixes for per day for the errors they introduce into production on every single release)
I've seen a lot less of that the last couple of weeks. My understanding is that when the main model spits out a diff that somehow doesn't apply cleanly, a cheap model is invoked to 'intelligently' apply it. So it shouldn't normally happen.
In my eye, GPT models always perform horribly at this, with Claude and Gemini coming in close second/third.
To be honest the student may not necessarily care what the Isling model is, but they don't have to and neither does an LLM. It takes a very modest amount of code to apply some rules and update a grid of pixels. At least when I was in school it was totally normal to expect students to make something like this in an hour.
It's actually kind of ironic that in this case such a simple project now means the opposite of what it did back then. Students got these assignments as a form of encouragement to show that their skills were immediately useful and that more "serious" science need not be so scary.
On the other hand, I was thinking the other day what a shitty band name "The Beatles" are in isolation from the music. If the product is good enough it kind of frames the name and makes a bad name completely work.
