Earlier quoted context omitted.
The question isn't clearly written down anywhere, that's why. Presumably actual candidates would have been given more info over the phone or email. Part of the "challenge" is reverse engineering their Python; unclear if that's intentional. If you look at the top of perf_takehome.py then there is a brief comment saying the challenge is to optimize a kernel. Kernel in GPU land means a program that computes on data in p…
It does seem a bit of a strange challenge - a bit reminiscent of high school math problems where understanding the question was as much part of it as actually solving the problem when you understood it. Since the focus of the challenge appears(?) intended to be optimization, not reverse engineering, it's a bit odd that they don't give a clear statement of what the kernel is meant to be computing. Perhaps the challeng…
"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"
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.