{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Writing: Retro Contest","description":"OpenAI writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/72c193e2-a951-40c0-97e0-e218db6a3512","json_url":"https://onlylabs.fyi/signals/72c193e2-a951-40c0-97e0-e218db6a3512/signal.json","generated_at":"2026-06-08T15:47:05.71+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/72c193e2-a951-40c0-97e0-e218db6a3512","signal_json":"https://onlylabs.fyi/signals/72c193e2-a951-40c0-97e0-e218db6a3512/signal.json","source":"https://openai.com/index/retro-contest","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. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Retro Contest | OpenAI April 5, 2018 Retro Contest We’re launching a transfer learning contest that measures a reinforcement learning algorithm’s ability to generalize.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","signal_desk":"talking","source_context":{"source_url":"https://openai.com/index/retro-contest","source_host":"openai.com","occurred_at":"2018-04-05T07:00:00+00:00","first_seen_at":"2026-06-05T05:42:57.832854+00:00","date_source":"rss.item_date","context":null},"context_markers":[{"label":"Lab","value":"OpenAI","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"openai.com","source":"source"},{"label":"Watch term","value":"RL environments","source":"evidence"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Data pipeline","source":"evidence"},{"label":"Watch term","value":"Infrastructure","source":"evidence"},{"label":"Watch term","value":"Safety and alignment","source":"evidence"},{"label":"Watch term","value":"Agents and tool use","source":"evidence"}],"evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["exa"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://openai.com/index/retro-contest"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-08T15:47:05.71+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/72c193e2-a951-40c0-97e0-e218db6a3512/signal.json","dossier_json":"https://onlylabs.fyi/labs/openai/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/openai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/openai/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","evidence_focus":["post title","source URL","captured page text","HN traction","linked model or paper references","publication date"],"extraction_questions":["Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Which writing reframes a recent release, model, hiring wave, or policy stance?","Which posts mention data, evals, infrastructure, safety, or deployment workflows?"],"signal_questions":["What public theme, launch framing, or research direction does this writing signal expose?","Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Do the 6 related writing signals show a repeated pattern?"],"output_fields":["org","theme","public_framing","traction","data_business_lane","evidence_url"],"data_business_relevance":"Public writing supplies the narrative layer over raw signals and helps identify which frontier-lab priorities are becoming externally legible.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/72c193e2-a951-40c0-97e0-e218db6a3512/signal.json","required":true},{"label":"source","url":"https://openai.com/index/retro-contest","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/openai/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/openai/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/talking/signals.json","required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze OpenAI's writing signal \"Retro Contest\" for frontier lab strategy."},"semantic_triples":[{"subject":"OpenAI","predicate":"published","object":"Retro Contest","text":"OpenAI published Retro Contest."},{"subject":"Retro Contest","predicate":"is classified as","object":"writing signal","text":"Retro Contest is classified as writing signal."},{"subject":"Retro Contest","predicate":"belongs to","object":"talking desk","text":"Retro Contest belongs to talking desk."},{"subject":"Retro Contest","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Retro Contest has evidence coverage 1 captured evidence page."},{"subject":"Retro Contest","predicate":"has captured page count","object":"1","text":"Retro Contest has captured page count 1."},{"subject":"Retro Contest","predicate":"has readable page count","object":"1","text":"Retro Contest has readable page count 1."},{"subject":"Retro Contest","predicate":"has related signal count","object":"6","text":"Retro Contest has related signal count 6."},{"subject":"Retro Contest","predicate":"has analysis playbook objective","object":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","text":"Retro Contest has analysis playbook objective Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.."},{"subject":"Retro Contest","predicate":"has source host","object":"openai.com","text":"Retro Contest has source host openai.com."},{"subject":"Retro Contest","predicate":"has lab","object":"OpenAI","text":"Retro Contest has lab OpenAI."},{"subject":"Retro Contest","predicate":"has signal desk","object":"talking","text":"Retro Contest has signal desk talking."},{"subject":"Retro Contest","predicate":"has source host","object":"openai.com","text":"Retro Contest has source host openai.com."},{"subject":"Retro Contest","predicate":"has watch term","object":"RL environments","text":"Retro Contest has watch term RL environments."},{"subject":"Retro Contest","predicate":"has watch term","object":"Eval methodology","text":"Retro Contest has watch term Eval methodology."},{"subject":"Retro Contest","predicate":"has watch term","object":"Data pipeline","text":"Retro Contest has watch term Data pipeline."},{"subject":"Retro Contest","predicate":"has watch term","object":"Infrastructure","text":"Retro Contest has watch term Infrastructure."},{"subject":"Retro Contest","predicate":"has watch term","object":"Safety and alignment","text":"Retro Contest has watch term Safety and alignment."}]},"intelligence":{"signal_desk":"talking","answer":"OpenAI published Retro Contest. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Retro Contest | OpenAI April 5, 2018 Retro Contest We’re launching a transfer learning contest that measures a reinforcement learning algorithm’s ability to generalize.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","semantic_triples":[{"subject":"OpenAI","predicate":"published","object":"Retro Contest","text":"OpenAI published Retro Contest."},{"subject":"Retro Contest","predicate":"is classified as","object":"writing signal","text":"Retro Contest is classified as writing signal."},{"subject":"Retro Contest","predicate":"belongs to","object":"talking desk","text":"Retro Contest belongs to talking desk."},{"subject":"Retro Contest","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Retro Contest has evidence coverage 1 captured evidence page."}]},"signal":{"id":"72c193e2-a951-40c0-97e0-e218db6a3512","url":"https://onlylabs.fyi/signals/72c193e2-a951-40c0-97e0-e218db6a3512","json_url":"https://onlylabs.fyi/signals/72c193e2-a951-40c0-97e0-e218db6a3512/signal.json","source_url":"https://openai.com/index/retro-contest","title":"Retro Contest","summary":"OpenAI published a writing signal. onlylabs watches public writing for research themes, product direction, and model-launch context.","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"openai","name":"OpenAI","category":"frontier-lab"},"occurred_at":"2018-04-05T07:00:00+00:00","first_seen_at":"2026-06-05T05:42:57.832854+00:00","date_source":"rss.item_date","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["exa"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://openai.com/index/retro-contest"]},"facets":{},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"url":"https://openai.com/index/retro-contest","final_url":"https://openai.com/index/retro-contest","title":"Retro Contest","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:47:05.71+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":true,"excerpt":"Retro Contest | OpenAI April 5, 2018 Retro Contest We’re launching a transfer learning contest that measures a reinforcement learning algorithm’s ability to generalize from previous experience. Illustration: Timothy J. Reynolds Loading… Share Why it matters In typical RL research, algorithms are tested in the same environment where they were trained, which favors algorithms which are good at memorization and have many hyperparameters. Instead, our contest tests an algorithm on previously unseen video game levels. This contest uses Gym Retro, a new platform integrating classic games into Gym, starting with 30 SEGA Genesis games. Update: The results⁠ are in! Loading... The OpenAI Retro Contest⁠ gives you a training set of levels from the Sonic The Hedgehog™ series of games, and we evaluate your algorithm on a test set of custom levels that we have created for this contest. The contest will run from April 5 to June 5. To get people started we’re releasing retro-baselines⁠, which shows how to run several RL algorithms on the contest tasks. Baseline results on the Retro Contest (test set) show that RL algorithms fall far below human performance, even when using transfer learning. Human..."},"evidence_pages":[{"url":"https://openai.com/index/retro-contest","final_url":"https://openai.com/index/retro-contest","title":"Retro Contest","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:47:05.71+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":true,"excerpt":"Retro Contest | OpenAI April 5, 2018 Retro Contest We’re launching a transfer learning contest that measures a reinforcement learning algorithm’s ability to generalize from previous experience. Illustration: Timothy J. Reynolds Loading… Share Why it matters In typical RL research, algorithms are tested in the same environment where they were trained, which favors algorithms which are good at memorization and have many hyperparameters. Instead, our contest tests an algorithm on previously unseen video game levels. This contest uses Gym Retro, a new platform integrating classic games into Gym, starting with 30 SEGA Genesis games. Update: The results⁠ are in! Loading... The OpenAI Retro Contest⁠ gives you a training set of levels from the Sonic The Hedgehog™ series of games, and we evaluate your algorithm on a test set of custom levels that we have created for this contest. The contest will run from April 5 to June 5. To get people started we’re releasing retro-baselines⁠, which shows how to run several RL algorithms on the contest tasks. Baseline results on the Retro Contest (test set) show that RL algorithms fall far below human performance, even when using transfer learning. Human..."}],"related_signals":[{"id":"b3668d3b-26d2-40c0-9d4f-ed1a67927aa4","url":"https://onlylabs.fyi/signals/b3668d3b-26d2-40c0-9d4f-ed1a67927aa4","source_url":"https://openai.com/index/supporting-eu-trustworthy-ai-ecosystem","title":"Supporting Europe’s work in ensuring a trustworthy AI ecosystem ","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"openai","name":"OpenAI","category":"frontier-lab"},"occurred_at":"2026-06-11T00:00:00+00:00","first_seen_at":"2026-06-11T08:00:56.140796+00:00","date_source":"rss.item_date"},{"id":"2638c0a7-b372-409c-ac72-f6d81d6464dc","url":"https://onlylabs.fyi/signals/2638c0a7-b372-409c-ac72-f6d81d6464dc","source_url":"https://openai.com/index/using-codex-to-simulate-black-holes","title":"How an astrophysicist uses Codex to help simulate black holes","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"openai","name":"OpenAI","category":"frontier-lab"},"occurred_at":"2026-06-11T00:00:00+00:00","first_seen_at":"2026-06-11T07:01:16.936464+00:00","date_source":"rss.item_date"},{"id":"509ea784-51ec-4ede-855b-5a4d1b27d3be","url":"https://onlylabs.fyi/signals/509ea784-51ec-4ede-855b-5a4d1b27d3be","source_url":"https://openai.com/index/openai-on-oracle-cloud","title":"Access OpenAI models and Codex through your Oracle cloud commitment","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"openai","name":"OpenAI","category":"frontier-lab"},"occurred_at":"2026-06-10T20:00:00+00:00","first_seen_at":"2026-06-11T07:01:16.936464+00:00","date_source":"rss.item_date"},{"id":"4f051449-87f2-466e-941e-b5918381a8fe","url":"https://onlylabs.fyi/signals/4f051449-87f2-466e-941e-b5918381a8fe","source_url":"https://openai.com/index/prc-linked-influence-operations-ai-debates","title":"PRC-linked influence operations are targeting AI debates in the US","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"openai","name":"OpenAI","category":"frontier-lab"},"occurred_at":"2026-06-10T12:00:00+00:00","first_seen_at":"2026-06-11T07:01:16.936464+00:00","date_source":"rss.item_date"},{"id":"4507c0c1-cb74-4bb3-b62b-5f6c2d37e20d","url":"https://onlylabs.fyi/signals/4507c0c1-cb74-4bb3-b62b-5f6c2d37e20d","source_url":"https://openai.com/index/lseg","title":"From data to decisions: how LSEG is scaling trusted AI","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"openai","name":"OpenAI","category":"frontier-lab"},"occurred_at":"2026-06-10T00:00:00+00:00","first_seen_at":"2026-06-10T09:18:54.26094+00:00","date_source":"rss.item_date"},{"id":"fb16aa7a-c4ef-4859-b514-0839c2f1330d","url":"https://onlylabs.fyi/signals/fb16aa7a-c4ef-4859-b514-0839c2f1330d","source_url":"https://openai.com/index/nextdoor","title":"How engineers at Nextdoor use Codex to build without limits","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"openai","name":"OpenAI","category":"frontier-lab"},"occurred_at":"2026-06-09T12:00:00+00:00","first_seen_at":"2026-06-10T07:01:28.700378+00:00","date_source":"rss.item_date"}]}