{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Writing: Reptile: A scalable meta-learning algorithm","description":"OpenAI writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/c043f67b-ba2f-43c3-91a2-5e739174b084","json_url":"https://onlylabs.fyi/signals/c043f67b-ba2f-43c3-91a2-5e739174b084/signal.json","generated_at":"2026-06-08T15:47:06.094+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/c043f67b-ba2f-43c3-91a2-5e739174b084","signal_json":"https://onlylabs.fyi/signals/c043f67b-ba2f-43c3-91a2-5e739174b084/signal.json","source":"https://openai.com/index/reptile","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 Reptile: A scalable meta-learning algorithm. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Reptile: A scalable meta-learning algorithm | OpenAI March 7, 2018 Reptile: A scalable meta-learning algorithm Read paper View code Loading… Share We’ve developed a.... 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/reptile","source_host":"openai.com","occurred_at":"2018-03-07T08:00:00+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":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Infrastructure","source":"evidence"},{"label":"Watch term","value":"Safety and alignment","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/reptile"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-08T15:47:06.094+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/c043f67b-ba2f-43c3-91a2-5e739174b084/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/c043f67b-ba2f-43c3-91a2-5e739174b084/signal.json","required":true},{"label":"source","url":"https://openai.com/index/reptile","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 \"Reptile: A scalable meta-learning algorithm\" for frontier lab strategy."},"semantic_triples":[{"subject":"OpenAI","predicate":"published","object":"Reptile: A scalable meta-learning algorithm","text":"OpenAI published Reptile: A scalable meta-learning algorithm."},{"subject":"Reptile: A scalable meta-learning algorithm","predicate":"is classified as","object":"writing signal","text":"Reptile: A scalable meta-learning algorithm is classified as writing signal."},{"subject":"Reptile: A scalable meta-learning algorithm","predicate":"belongs to","object":"talking desk","text":"Reptile: A scalable meta-learning algorithm belongs to talking desk."},{"subject":"Reptile: A scalable meta-learning algorithm","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Reptile: A scalable meta-learning algorithm has evidence coverage 1 captured evidence page."},{"subject":"Reptile: A scalable meta-learning algorithm","predicate":"has captured page count","object":"1","text":"Reptile: A scalable meta-learning algorithm has captured page count 1."},{"subject":"Reptile: A scalable meta-learning algorithm","predicate":"has readable page count","object":"1","text":"Reptile: A scalable meta-learning algorithm has readable page count 1."},{"subject":"Reptile: A scalable meta-learning algorithm","predicate":"has related signal count","object":"6","text":"Reptile: A scalable meta-learning algorithm has related signal count 6."},{"subject":"Reptile: A scalable meta-learning algorithm","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":"Reptile: A scalable meta-learning algorithm 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":"Reptile: A scalable meta-learning algorithm","predicate":"has source host","object":"openai.com","text":"Reptile: A scalable meta-learning algorithm has source host openai.com."},{"subject":"Reptile: A scalable meta-learning algorithm","predicate":"has lab","object":"OpenAI","text":"Reptile: A scalable meta-learning algorithm has lab OpenAI."},{"subject":"Reptile: A scalable meta-learning algorithm","predicate":"has signal desk","object":"talking","text":"Reptile: A scalable meta-learning algorithm has signal desk talking."},{"subject":"Reptile: A scalable meta-learning algorithm","predicate":"has source host","object":"openai.com","text":"Reptile: A scalable meta-learning algorithm has source host openai.com."},{"subject":"Reptile: A scalable meta-learning algorithm","predicate":"has watch term","object":"Eval methodology","text":"Reptile: A scalable meta-learning algorithm has watch term Eval methodology."},{"subject":"Reptile: A scalable meta-learning algorithm","predicate":"has watch term","object":"Infrastructure","text":"Reptile: A scalable meta-learning algorithm has watch term Infrastructure."},{"subject":"Reptile: A scalable meta-learning algorithm","predicate":"has watch term","object":"Safety and alignment","text":"Reptile: A scalable meta-learning algorithm has watch term Safety and alignment."}]},"intelligence":{"signal_desk":"talking","answer":"OpenAI published Reptile: A scalable meta-learning algorithm. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Reptile: A scalable meta-learning algorithm | OpenAI March 7, 2018 Reptile: A scalable meta-learning algorithm Read paper View code Loading… Share We’ve developed a.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","semantic_triples":[{"subject":"OpenAI","predicate":"published","object":"Reptile: A scalable meta-learning algorithm","text":"OpenAI published Reptile: A scalable meta-learning algorithm."},{"subject":"Reptile: A scalable meta-learning algorithm","predicate":"is classified as","object":"writing signal","text":"Reptile: A scalable meta-learning algorithm is classified as writing signal."},{"subject":"Reptile: A scalable meta-learning algorithm","predicate":"belongs to","object":"talking desk","text":"Reptile: A scalable meta-learning algorithm belongs to talking desk."},{"subject":"Reptile: A scalable meta-learning algorithm","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Reptile: A scalable meta-learning algorithm has evidence coverage 1 captured evidence page."}]},"signal":{"id":"c043f67b-ba2f-43c3-91a2-5e739174b084","url":"https://onlylabs.fyi/signals/c043f67b-ba2f-43c3-91a2-5e739174b084","json_url":"https://onlylabs.fyi/signals/c043f67b-ba2f-43c3-91a2-5e739174b084/signal.json","source_url":"https://openai.com/index/reptile","title":"Reptile: A scalable meta-learning algorithm","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":"2018-03-07T08:00:00+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/reptile"]},"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/reptile","final_url":"https://openai.com/index/reptile","title":"Reptile: A scalable meta-learning algorithm","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:47:06.094+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":true,"excerpt":"Reptile: A scalable meta-learning algorithm | OpenAI March 7, 2018 Reptile: A scalable meta-learning algorithm Read paper View code Loading… Share We’ve developed a simple meta-learning algorithm called Reptile which works by repeatedly sampling a task, performing stochastic gradient descent on it, and updating the initial parameters towards the final parameters learned on that task. Reptile is the application of the Shortest Descent algorithm to the meta-learning setting, and is mathematically similar to first-order MAML (which is a version of the well-known MAML algorithm) that only needs black-box access to an optimizer such as SGD or Adam, with similar computational efficiency and performance. Meta-learning is the process of learning how to learn. A meta-learning algorithm takes in a distribution of tasks, where each task is a learning problem, and it produces a quick learner—a learner that can generalize from a small number of examples. One well-studied meta-learning problem is few-shot classification, where each task is a classification problem where the learner only sees 1–5 input-output examples from each class, and then it must classify new inputs. Below, you can try out..."},"evidence_pages":[{"url":"https://openai.com/index/reptile","final_url":"https://openai.com/index/reptile","title":"Reptile: A scalable meta-learning algorithm","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:47:06.094+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":true,"excerpt":"Reptile: A scalable meta-learning algorithm | OpenAI March 7, 2018 Reptile: A scalable meta-learning algorithm Read paper View code Loading… Share We’ve developed a simple meta-learning algorithm called Reptile which works by repeatedly sampling a task, performing stochastic gradient descent on it, and updating the initial parameters towards the final parameters learned on that task. Reptile is the application of the Shortest Descent algorithm to the meta-learning setting, and is mathematically similar to first-order MAML (which is a version of the well-known MAML algorithm) that only needs black-box access to an optimizer such as SGD or Adam, with similar computational efficiency and performance. Meta-learning is the process of learning how to learn. A meta-learning algorithm takes in a distribution of tasks, where each task is a learning problem, and it produces a quick learner—a learner that can generalize from a small number of examples. One well-studied meta-learning problem is few-shot classification, where each task is a classification problem where the learner only sees 1–5 input-output examples from each class, and then it must classify new inputs. Below, you can try out..."}],"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"}]}