Mike Acton on X: "Using an LLM to optimize code: I created a reference implementation of @kevintracy48's collision detection in C, then used gpt-5.5 to optimize it and managed a > 100x speedup from that baseline. Cost ~125M tokens<br>Code and details: https://t.co/kXrwN9CFs6" / X<br>Post
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Mike Acton<br>@mike_acton
Using an LLM to optimize code: I created a reference implementation of @kevintracy48's collision detection in C, then used gpt-5.5 to optimize it and managed a > 100x speedup from that baseline. Cost ~125M tokens<br>Code and details:<br>span:not(:empty)~span:not(:empty)]:before:content-['·'] [&>span:not(:empty)~span:not(:empty)]:before:px-1 [&>span:not(:empty)~span:not(:empty)]:before:shrink-0 min-w-0 overflow-hidden">Kevin Tracy<br>@kevintracy48
Jan 13, 2023
I’m excited to finally show off fast and robust differentiable collision detection between pairs of convex primitives!
paper: arxiv.org/abs/2207.00669<br>code: github.com/kevin-tracy/Di…
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GitHub - macton/differentiable-collisions-optc
From github.com
span:not(:empty)~span:not(:empty)]:before:content-['·'] [&>span:not(:empty)~span:not(:empty)]:before:px-1 [&>span:not(:empty)~span:not(:empty)]:before:shrink-0">7:02 AM · Jun 16, 202629KViews
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