AlphaCode, described in a February 2022 Science paper, generated solutions to competitive programming problems requiring understanding natural-language problem statements and producing working code that satisfies hidden test cases, a task requiring reasoning well beyond simple code completion. It was evaluated under contest-realistic conditions on real, previously unseen Codeforces problems rather than static benchmark datasets, and it placed at approximately the level of the median human contestant.
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AlphaCode, described in a February 2022 Science paper, generated solutions to competitive programming problems requiring understanding natural-language problem statements and producing working code that satisfies hidden test cases, a task requiring reasoning well beyond simple code completion. It was evaluated under contest-realistic conditions on real, previously unseen Codeforces problems rather than static benchmark datasets, and it placed at approximately the level of the median human contestant.
DeepMind's AlphaCode, evaluated on 10 real recent Codeforces contests under the same rules as human contestants, achieved an estimated average ranking within the top 54.3% of participants, roughly the level of a median competitive programmer.
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Limits Registry. LR-ALPHACODE-CODEFORCES. AlphaCode reaches median human level on competitive programming contests. 2026.