Sakana AI's Agent Beats 800+ Humans to Win a Competitive Programming Contest
Sakana AI's ALE-Agent took first place in an AtCoder Heuristic Contest, autonomously discovering novel optimization algorithms over a four-hour window — spending about $1,300 in API credits to do it.
An AI agent built by Sakana AI placed first in an AtCoder Heuristic Contest, beating over 800 human competitors in a production planning optimization challenge, as @SakanaAILabs announced on Monday. The contest ran for four hours, during which the agent — called ALE-Agent — autonomously iterated on heuristic algorithms using inference-time scaling with frontier language models. It wasn't simply applying known techniques; Sakana claims the agent invented novel heuristics to solve the problem.
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