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AdamantChicken2 (aka AlphaCode2) replied to the thread! https://codeforces.com/blog/entry/123035?#comment-1091379

I guess we'll know in a few months (whenever the model is available and the next competition is run)

It doesn't code like human so you would expect it to be better at some kinds of tasks. It brute forces the problems by generating a million solutions and then tries to trim that down, a few problems might be vulnerable to that style of approach.

Are you sure? "brute forces the problems by generating a million solutions and then tries to trim that down" isn't how I would describe the way a LLM works.

The original AlphaCode paper in Nature explains the approach, they generate many potential solutions with the LLM and do a lot of processing after to select candidates. Here's where the probabilistic nature of LLMs hurts, I think.

That is how it works, read the paper.