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I just threw this prompt at Gemini, and it seems (I haven't analyzed the problem to see if it is correct), to be able to extract a clear understanding of the pr
by HarHarVeryFunny 9mo ago
I just threw this prompt at Gemini, and it seems (I haven't analyzed the problem to see if it is correct), to be able to extract a clear understanding of the problem, and a specification for the kernel.
"Can you "reverse engineer" what the kernel in this optimization exercise is actually doing - write a specification for it?
https://github.com/anthropics/original_performance_takehome https://github.com/anthropics/original_performance_takehome"
Gemini says it's doing inference on a random forest - taking a batch of inputs, running each one through each decision tree, and for each input outputting the sum of these decision tree outputs - the accumulated evidence.
- HarHarVeryFunny 9mo agoSo looking at the actual code (reference_kernel() in problem.py), this "random forest inference" is completely wrong! It's doing some sort of binary tree traversal, but the hashing and wrap around looks weird - maybe just a made up task rather than any useful algorithm?
- saagarjha 9mo agoYes, it’s made up.