{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Writing: Retro Contest: Results","description":"OpenAI writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/11197ac3-c275-4039-aeb9-1d8510c7539a","json_url":"https://onlylabs.fyi/signals/11197ac3-c275-4039-aeb9-1d8510c7539a/signal.json","generated_at":"2026-06-08T15:47:04.517+00:00","org":{"slug":"openai","name":"OpenAI","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/openai","dossier_json_url":"https://onlylabs.fyi/labs/openai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/11197ac3-c275-4039-aeb9-1d8510c7539a","signal_json":"https://onlylabs.fyi/signals/11197ac3-c275-4039-aeb9-1d8510c7539a/signal.json","source":"https://openai.com/index/retro-contest-results","lab_dossier":"https://onlylabs.fyi/labs/openai","lab_dossier_json":"https://onlylabs.fyi/labs/openai/dossier.json","analysis":"https://onlylabs.fyi/analysis/openai","analysis_json":"https://onlylabs.fyi/analysis/openai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/openai/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","data_business":null},"answer_pack":{"answer":"OpenAI published Retro Contest: Results. 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Loading… Share Though many approaches were tried, top results all came from tuning or extending existing algorithms such as PPO and Rainbow. There’s a long way to go: top performance was 4,692 after training while the theoretical max is 10,000. These results provide validation that our Sonic benchmark is a good problem for the community to double down on: the winning solutions are general machine learning approaches rather than competition-specific hacks, suggesting that one can’t cheat through this problem. Loading... Over the two-month contest, 923 teams registered and 229 submitted solutions to the leaderboard. Our automated evaluation systems conducted a total of 4,448 evaluations of submitted algorithms, corresponding to about 20 submissions per team. The contestants got to see their scores rise on the leaderboard, which was based on a test set of five low-quality levels that we created using a level editor. 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These results provide validation that our Sonic benchmark is a good problem for the community to double down on: the winning solutions are general machine learning approaches rather than competition-specific hacks, suggesting that one can’t cheat through this problem. Loading... Over the two-month contest, 923 teams registered and 229 submitted solutions to the leaderboard. Our automated evaluation systems conducted a total of 4,448 evaluations of submitted algorithms, corresponding to about 20 submissions per team. The contestants got to see their scores rise on the leaderboard, which was based on a test set of five low-quality levels that we created using a level editor. 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