{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Writing: Learning with opponent-learning awareness","description":"OpenAI writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/9c5b081f-5049-45db-8250-d6d962230e0a","json_url":"https://onlylabs.fyi/signals/9c5b081f-5049-45db-8250-d6d962230e0a/signal.json","generated_at":"2026-06-08T15:47:07.79+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/9c5b081f-5049-45db-8250-d6d962230e0a","signal_json":"https://onlylabs.fyi/signals/9c5b081f-5049-45db-8250-d6d962230e0a/signal.json","source":"https://openai.com/index/learning-with-opponent-learning-awareness","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 Learning with opponent-learning awareness. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Learning with opponent-learning awareness | OpenAI September 13, 2017 Publication Learning with opponent-learning awareness Read paper Loading… Share Abstract.... 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/learning-with-opponent-learning-awareness","source_host":"openai.com","occurred_at":"2017-09-13T07:00:00+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":"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/learning-with-opponent-learning-awareness"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-08T15:47:07.79+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/9c5b081f-5049-45db-8250-d6d962230e0a/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/9c5b081f-5049-45db-8250-d6d962230e0a/signal.json","required":true},{"label":"source","url":"https://openai.com/index/learning-with-opponent-learning-awareness","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 \"Learning with opponent-learning awareness\" for frontier lab strategy."},"semantic_triples":[{"subject":"OpenAI","predicate":"published","object":"Learning with opponent-learning awareness","text":"OpenAI published Learning with opponent-learning awareness."},{"subject":"Learning with opponent-learning awareness","predicate":"is classified as","object":"writing signal","text":"Learning with opponent-learning awareness is classified as writing signal."},{"subject":"Learning with opponent-learning awareness","predicate":"belongs to","object":"talking desk","text":"Learning with opponent-learning awareness belongs to talking desk."},{"subject":"Learning with opponent-learning awareness","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Learning with opponent-learning awareness has evidence coverage 1 captured evidence page."},{"subject":"Learning with opponent-learning awareness","predicate":"has captured page count","object":"1","text":"Learning with opponent-learning awareness has captured page count 1."},{"subject":"Learning with opponent-learning awareness","predicate":"has readable page count","object":"1","text":"Learning with opponent-learning awareness has readable page count 1."},{"subject":"Learning with opponent-learning awareness","predicate":"has related signal count","object":"6","text":"Learning with opponent-learning awareness has related signal count 6."},{"subject":"Learning with opponent-learning awareness","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":"Learning with opponent-learning awareness 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":"Learning with opponent-learning awareness","predicate":"has source host","object":"openai.com","text":"Learning with opponent-learning awareness has source host openai.com."},{"subject":"Learning with opponent-learning awareness","predicate":"has lab","object":"OpenAI","text":"Learning with opponent-learning awareness has lab OpenAI."},{"subject":"Learning with opponent-learning awareness","predicate":"has signal desk","object":"talking","text":"Learning with opponent-learning awareness has signal desk talking."},{"subject":"Learning with opponent-learning awareness","predicate":"has source host","object":"openai.com","text":"Learning with opponent-learning awareness has source host openai.com."},{"subject":"Learning with opponent-learning awareness","predicate":"has watch term","object":"RL environments","text":"Learning with opponent-learning awareness has watch term RL environments."},{"subject":"Learning with opponent-learning awareness","predicate":"has watch term","object":"Infrastructure","text":"Learning with opponent-learning awareness has watch term Infrastructure."},{"subject":"Learning with opponent-learning awareness","predicate":"has watch term","object":"Safety and alignment","text":"Learning with opponent-learning awareness has watch term Safety and alignment."},{"subject":"Learning with opponent-learning awareness","predicate":"has watch term","object":"Agents and tool use","text":"Learning with opponent-learning awareness has watch term Agents and tool use."}]},"intelligence":{"signal_desk":"talking","answer":"OpenAI published Learning with opponent-learning awareness. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Learning with opponent-learning awareness | OpenAI September 13, 2017 Publication Learning with opponent-learning awareness Read paper Loading… Share Abstract.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","semantic_triples":[{"subject":"OpenAI","predicate":"published","object":"Learning with opponent-learning awareness","text":"OpenAI published Learning with opponent-learning awareness."},{"subject":"Learning with opponent-learning awareness","predicate":"is classified as","object":"writing signal","text":"Learning with opponent-learning awareness is classified as writing signal."},{"subject":"Learning with opponent-learning awareness","predicate":"belongs to","object":"talking desk","text":"Learning with opponent-learning awareness belongs to talking desk."},{"subject":"Learning with opponent-learning awareness","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Learning with opponent-learning awareness has evidence coverage 1 captured evidence page."}]},"signal":{"id":"9c5b081f-5049-45db-8250-d6d962230e0a","url":"https://onlylabs.fyi/signals/9c5b081f-5049-45db-8250-d6d962230e0a","json_url":"https://onlylabs.fyi/signals/9c5b081f-5049-45db-8250-d6d962230e0a/signal.json","source_url":"https://openai.com/index/learning-with-opponent-learning-awareness","title":"Learning with opponent-learning awareness","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":"2017-09-13T07:00:00+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/learning-with-opponent-learning-awareness"]},"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/learning-with-opponent-learning-awareness","final_url":"https://openai.com/index/learning-with-opponent-learning-awareness","title":"Learning with opponent-learning awareness","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:47:07.79+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":true,"excerpt":"Learning with opponent-learning awareness | OpenAI September 13, 2017 Publication Learning with opponent-learning awareness Read paper Loading… Share Abstract Multi-agent settings are quickly gathering importance in machine learning. This includes a plethora of recent work on deep multi-agent reinforcement learning, but also can be extended to hierarchical RL, generative adversarial networks and decentralised optimisation. In all these settings the presence of multiple learning agents renders the training problem non-stationary and often leads to unstable training or undesired final results. We present Learning with Opponent-Learning Awareness (LOLA), a method in which each agent shapes the anticipated learning of the other agents in the environment. The LOLA learning rule includes a term that accounts for the impact of one agent's policy on the anticipated parameter update of the other agents. Results show that the encounter of two LOLA agents leads to the emergence of tit-for-tat and therefore cooperation in the iterated prisoners' dilemma, while independent learning does not. In this domain, LOLA also receives higher payouts compared to a naive learner, and is robust against..."},"evidence_pages":[{"url":"https://openai.com/index/learning-with-opponent-learning-awareness","final_url":"https://openai.com/index/learning-with-opponent-learning-awareness","title":"Learning with opponent-learning awareness","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:47:07.79+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":true,"excerpt":"Learning with opponent-learning awareness | OpenAI September 13, 2017 Publication Learning with opponent-learning awareness Read paper Loading… Share Abstract Multi-agent settings are quickly gathering importance in machine learning. This includes a plethora of recent work on deep multi-agent reinforcement learning, but also can be extended to hierarchical RL, generative adversarial networks and decentralised optimisation. In all these settings the presence of multiple learning agents renders the training problem non-stationary and often leads to unstable training or undesired final results. We present Learning with Opponent-Learning Awareness (LOLA), a method in which each agent shapes the anticipated learning of the other agents in the environment. The LOLA learning rule includes a term that accounts for the impact of one agent's policy on the anticipated parameter update of the other agents. Results show that the encounter of two LOLA agents leads to the emergence of tit-for-tat and therefore cooperation in the iterated prisoners' dilemma, while independent learning does not. In this domain, LOLA also receives higher payouts compared to a naive learner, and is robust against..."}],"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"}]}