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LLM wrapper that iteratively improves solutions for problems that can be automatically evaluated (like optimization problems). Weird release: used in-house, no serious benchmarks (like contests), no mention of costs, very vague paper. Just showing off with nothing useful shared

Given the rapid improvement of coding agents, sponsors in competitive programming will likely disappear within 1-2 years Even with slow adoption and minimal progress in AI, there will be simply too many developers and too few jobs (except in highly specialized niches)

Live by the sword, die by the sword

AWTF questionnaires are published: info.atcoder.jp/entry/awtf-Heu… I think my good TCO performance comes from the fact that none of the finals' problems ever required beam search. Not sure if was too obvious about that😅

And the last thing before I go to sleep. The finals will be livestreamed (yay!) at: youtube.com/live/TG3ChQH61…

Since I can't fall asleep and had no time to properly research that. In OPTUNA, which sampling algorithm is the most suited for AHC?

Update: Slept for less than 1 hour. I will happy if I have enough energy to last full 10 hours 😭

Humanity has prevailed (for now!) I'm completely exhausted. I figured, I had 10h of sleep in the last 3 days and I'm barely alive. I'll post more about the contest when I get some rest. (To be clear, those are provisional results, but my lead should be big enough)

I'm sorry, but did you just put limited number of lives in a puzzle game in 2025? I love the concept and I think it's a step in the right direction, but maybe you should work with experienced puzzle designers (actual experts in the field) instead of relying on crowdsourcing?