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2127 points bakugo | 1 comments | | HN request time: 0.237s | source
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thanhhaimai ◴[] No.43163313[source]
> Third, in developing our reasoning models, we’ve optimized somewhat less for math and computer science competition problems, and instead shifted focus towards real-world tasks that better reflect how businesses actually use LLMs.

Company: we find that optimizing for LeetCode level programming is not a good use of resources, and we should be training AI less on competition problems.

Also Company: we hire SWEs based on how much time they trained themselves on LeetCode

/joke of course

replies(3): >>43163358 #>>43163379 #>>43163392 #
1. nico ◴[] No.43163392[source]
And it's also the reality of hiring practices for most VC-backed and public companies

Some try to do something more like "real-world" tasks, but those end up either being either just toy problems, or long take homes

Personally, I feel the most important things to prioritize when hiring are: is the candidate going to get along with their teammates (colleagues, boss, etc), and do they have the basic skills to relatively quickly learn their jobs once they start?