{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Writing: Learning to communicate","description":"OpenAI writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/4cf9582d-d84e-4f25-86d5-3fafebd8064c","json_url":"https://onlylabs.fyi/signals/4cf9582d-d84e-4f25-86d5-3fafebd8064c/signal.json","generated_at":"2026-06-08T15:47:16.62+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/4cf9582d-d84e-4f25-86d5-3fafebd8064c","signal_json":"https://onlylabs.fyi/signals/4cf9582d-d84e-4f25-86d5-3fafebd8064c/signal.json","source":"https://openai.com/index/learning-to-communicate","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 to communicate. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Learning to communicate | OpenAI March 16, 2017 Learning to communicate In this post we’ll outline new OpenAI research in which agents develop their own language..... 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-to-communicate","source_host":"openai.com","occurred_at":"2017-03-16T07:00:00+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":"Agents and tool 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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/4cf9582d-d84e-4f25-86d5-3fafebd8064c/signal.json","required":true},{"label":"source","url":"https://openai.com/index/learning-to-communicate","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 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has readable page count 1."},{"subject":"Learning to communicate","predicate":"has related signal count","object":"6","text":"Learning to communicate has related signal count 6."},{"subject":"Learning to communicate","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 to communicate 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 to communicate","predicate":"has source host","object":"openai.com","text":"Learning to communicate has source host openai.com."},{"subject":"Learning to communicate","predicate":"has lab","object":"OpenAI","text":"Learning to communicate has lab OpenAI."},{"subject":"Learning to communicate","predicate":"has signal desk","object":"talking","text":"Learning to communicate has signal desk talking."},{"subject":"Learning to communicate","predicate":"has source host","object":"openai.com","text":"Learning to communicate has source host openai.com."},{"subject":"Learning to communicate","predicate":"has watch term","object":"RL environments","text":"Learning to communicate has watch term RL environments."},{"subject":"Learning to communicate","predicate":"has watch term","object":"Infrastructure","text":"Learning to communicate has watch term Infrastructure."},{"subject":"Learning to communicate","predicate":"has watch term","object":"Agents and tool use","text":"Learning to communicate has watch term Agents and tool use."}]},"intelligence":{"signal_desk":"talking","answer":"OpenAI published Learning to communicate. This talking signal gives public context for research themes, product direction, policy, or launch framing. 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Loading… Share Our hypothesis is that true language understanding will come from agents that learn words in combination with how they affect the world, rather than spotting patterns in a huge corpus of text. As a first step, we wanted to see if cooperative agents could develop a simple language amongst themselves. Training agents to invent a language We’ve just released initial results⁠ in which we teach AI agents to create language by dropping them into a set of simple worlds, giving them the ability to communicate, and then giving them goals that can be best achieved by communicating with other agents. If they achieve a goal, then they get rewarded. We train them using reinforcement learning and, due to careful experiment design, they develop a shared language to help them achieve their goals. Our approach yields agents that invent a (simple!) language which is grounded⁠ and compositional⁠. 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