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Anthropic's original take home assignment open sourced

github.com

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Re: Anthropic's original take home assignment open sourced

#5

Post by glalonde »

koolba wrote: post #3

What is the actual assignment here? The README only gives numbers without any information on what you’re supposed to do or how you are rated.

"Optimize the kernel (in KernelBuilder.build_kernel) as much as possible in the available time, as measured by test_kernel_cycles on a frozen separate copy of the simulator." from perf_takehome.py

Re: Anthropic's original take home assignment open sourced

#6

Post by jackblemming »

Seems like they’re trying to hire nerds who know a lot about hardware or compiler optimizations. That will only get you so far. I guess hiring for creativity is a lot harder.

And before some smart aleck says you can be creative on these types of optimization problems: not in two hours, it’s far too risky vs regurgitating some standard set of tried and true algos.

Re: Anthropic's original take home assignment open sourced

#8

Post by rvz »

jackblemming wrote: post #6

Seems like they’re trying to hire nerds who know a lot about hardware or compiler optimizations. That will only get you so far. I guess hiring for creativity is a lot harder. And before some smart aleck says you can be creative on these types of optimization problems: not in two hours, it’s far too risky vs regurgitating some standard set of tried and true algos.

> Seems like they’re trying to hire nerds who know a lot about hardware or compiler optimizations. That will only get you so far. I guess hiring for creativity is a lot harder.

Good. That should be the minimum requirement.

Not another Next.js web app take home project.

Re: Anthropic's original take home assignment open sourced

#9

Post by tmule »

jackblemming wrote: post #6

Seems like they’re trying to hire nerds who know a lot about hardware or compiler optimizations. That will only get you so far. I guess hiring for creativity is a lot harder. And before some smart aleck says you can be creative on these types of optimization problems: not in two hours, it’s far too risky vs regurgitating some standard set of tried and true algos.

Your comments history suggests you’re rather bitter about “nerds” who are likely a few standard deviations smarter than you (Anthropic OG team, Jeff Dean, proof nerds, Linus, …)
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