{"schema_version":"onlylabs.public_signal.v1","title":"Anthropic Writing: Scaling Laws And Interpretability Of Learning From Repeated Data","description":"Anthropic writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/954728e6-d27b-4b48-bac1-26a934300c9a","json_url":"https://onlylabs.fyi/signals/954728e6-d27b-4b48-bac1-26a934300c9a/signal.json","generated_at":"2026-06-11T04:17:54.618442+00:00","org":{"slug":"anthropic","name":"Anthropic","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/anthropic","dossier_json_url":"https://onlylabs.fyi/labs/anthropic/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/954728e6-d27b-4b48-bac1-26a934300c9a","signal_json":"https://onlylabs.fyi/signals/954728e6-d27b-4b48-bac1-26a934300c9a/signal.json","source":"https://www.anthropic.com/research/scaling-laws-and-interpretability-of-learning-from-repeated-data","lab_dossier":"https://onlylabs.fyi/labs/anthropic","lab_dossier_json":"https://onlylabs.fyi/labs/anthropic/dossier.json","analysis":"https://onlylabs.fyi/analysis/anthropic","analysis_json":"https://onlylabs.fyi/analysis/anthropic/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/anthropic/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":{"radar":"https://onlylabs.fyi/data-radar","radar_json":"https://onlylabs.fyi/data-radar.json","opportunities":"https://onlylabs.fyi/opportunities","opportunities_json":"https://onlylabs.fyi/opportunities.json","lanes":[{"key":"data","label":"Data demand","url":"https://onlylabs.fyi/data-radar/data","json_url":"https://onlylabs.fyi/data-radar/data/signals.json"},{"key":"infrastructure","label":"Infrastructure","url":"https://onlylabs.fyi/data-radar/infrastructure","json_url":"https://onlylabs.fyi/data-radar/infrastructure/signals.json"}]}},"answer_pack":{"answer":"Anthropic published Scaling Laws And Interpretability Of Learning From Repeated Data. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Scaling Laws and Interpretability of Learning from Repeated Data \\ Anthropic Interpretability Research Scaling Laws and Interpretability of Learning from Repeated Data.... onlylabs links this event to 1 captured evidence page and 6 related writing signals. It also maps to Data demand, Infrastructure in the data-business radar.","signal_desk":"talking","source_context":{"source_url":"https://www.anthropic.com/research/scaling-laws-and-interpretability-of-learning-from-repeated-data","source_host":"anthropic.com","occurred_at":"2022-05-21T00:00:00.000Z","first_seen_at":"2026-06-09T02:17:26.339488+00:00","date_source":"page.visible_date","context":null},"context_markers":[{"label":"Lab","value":"Anthropic","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"anthropic.com","source":"source"},{"label":"Radar lane","value":"Data demand","source":"radar"},{"label":"Radar lane","value":"Infrastructure","source":"radar"},{"label":"Matched term","value":"data","source":"radar"},{"label":"Matched term","value":"scaling","source":"radar"},{"label":"Watch term","value":"Data pipeline","source":"evidence"},{"label":"Watch term","value":"Infrastructure","source":"evidence"},{"label":"Watch 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This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Scaling Laws and Interpretability of Learning from Repeated Data \\ Anthropic Interpretability Research Scaling Laws and Interpretability of Learning from Repeated Data.... onlylabs links this event to 1 captured evidence page and 6 related writing signals. It also maps to Data demand, Infrastructure in the data-business radar.","semantic_triples":[{"subject":"Anthropic","predicate":"published","object":"Scaling Laws And Interpretability Of Learning From Repeated Data","text":"Anthropic published Scaling Laws And Interpretability Of Learning From Repeated Data."},{"subject":"Scaling Laws And Interpretability Of Learning From Repeated Data","predicate":"is classified as","object":"writing signal","text":"Scaling Laws And Interpretability Of Learning From Repeated Data is classified as writing signal."},{"subject":"Scaling Laws And Interpretability Of Learning From Repeated Data","predicate":"belongs to","object":"talking desk","text":"Scaling Laws And Interpretability Of Learning From Repeated Data belongs to talking desk."},{"subject":"Scaling Laws And Interpretability Of Learning From Repeated Data","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Scaling Laws And Interpretability Of Learning From Repeated Data has evidence coverage 1 captured evidence page."},{"subject":"Scaling Laws And Interpretability Of Learning From Repeated Data","predicate":"matches data-business lanes","object":"Data demand, Infrastructure","text":"Scaling Laws And Interpretability Of Learning From Repeated Data matches data-business lanes Data demand, Infrastructure."}]},"signal":{"id":"954728e6-d27b-4b48-bac1-26a934300c9a","url":"https://onlylabs.fyi/signals/954728e6-d27b-4b48-bac1-26a934300c9a","json_url":"https://onlylabs.fyi/signals/954728e6-d27b-4b48-bac1-26a934300c9a/signal.json","source_url":"https://www.anthropic.com/research/scaling-laws-and-interpretability-of-learning-from-repeated-data","title":"Scaling Laws And Interpretability Of Learning From Repeated Data","summary":"Anthropic 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":"anthropic","name":"Anthropic","category":"frontier-lab"},"occurred_at":"2022-05-21T00:00:00.000Z","first_seen_at":"2026-06-09T02:17:26.339488+00:00","date_source":"page.visible_date","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://www.anthropic.com/research/scaling-laws-and-interpretability-of-learning-from-repeated-data"]},"facets":{},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":{"lanes":[{"key":"data","label":"Data demand","url":"https://onlylabs.fyi/data-radar/data"},{"key":"infrastructure","label":"Infrastructure","url":"https://onlylabs.fyi/data-radar/infrastructure"}],"score":25,"matched_terms":["data","scaling"],"reason":"Anthropic has a writing signal matching data demand, infrastructure."}},"primary_evidence_page":{"url":"https://www.anthropic.com/research/scaling-laws-and-interpretability-of-learning-from-repeated-data","final_url":"https://www.anthropic.com/research/scaling-laws-and-interpretability-of-learning-from-repeated-data","title":"Scaling Laws And Interpretability Of Learning From Repeated Data","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T04:17:54.618442+00:00","bytes":108433,"raw_path":"9cedaf08061ba8cfb95f251b0b440e69180562b5619035a75008dbc0aaf1f094.html","content_hash":"d8fa0e0e79cc33cf7bb31eb29384b1c4fb29cf14892664dedc1d2e71bc37c317","excerpt_chars":1200,"truncated":true,"excerpt":"Scaling Laws and Interpretability of Learning from Repeated Data \\ Anthropic Interpretability Research Scaling Laws and Interpretability of Learning from Repeated Data May 21, 2022 Read Paper Abstract Recent large language models have been trained on vast datasets, but also often on repeated data, either intentionally for the purpose of upweighting higher quality data, or unintentionally because data deduplication is not perfect and the model is exposed to repeated data at the sentence, paragraph, or document level. Some works have reported substantial negative performance effects of this repeated data. In this paper we attempt to study repeated data systematically and to understand its effects mechanistically. To do this, we train a family of models where most of the data is unique but a small fraction of it is repeated many times. We find a strong double descent phenomenon, in which repeated data can lead test loss to increase midway through training. A predictable range of repetition frequency leads to surprisingly severe degradation in performance. For instance, performance of an 800M parameter model can be degraded to that of a 2x smaller model (400M params) by repeating 0.1%..."},"evidence_pages":[{"url":"https://www.anthropic.com/research/scaling-laws-and-interpretability-of-learning-from-repeated-data","final_url":"https://www.anthropic.com/research/scaling-laws-and-interpretability-of-learning-from-repeated-data","title":"Scaling Laws And Interpretability Of Learning From Repeated Data","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T04:17:54.618442+00:00","bytes":108433,"raw_path":"9cedaf08061ba8cfb95f251b0b440e69180562b5619035a75008dbc0aaf1f094.html","content_hash":"d8fa0e0e79cc33cf7bb31eb29384b1c4fb29cf14892664dedc1d2e71bc37c317","excerpt_chars":1200,"truncated":true,"excerpt":"Scaling Laws and Interpretability of Learning from Repeated Data \\ Anthropic Interpretability Research Scaling Laws and Interpretability of Learning from Repeated Data May 21, 2022 Read Paper Abstract Recent large language models have been trained on vast datasets, but also often on repeated data, either intentionally for the purpose of upweighting higher quality data, or unintentionally because data deduplication is not perfect and the model is exposed to repeated data at the sentence, paragraph, or document level. Some works have reported substantial negative performance effects of this repeated data. In this paper we attempt to study repeated data systematically and to understand its effects mechanistically. To do this, we train a family of models where most of the data is unique but a small fraction of it is repeated many times. We find a strong double descent phenomenon, in which repeated data can lead test loss to increase midway through training. A predictable range of repetition frequency leads to surprisingly severe degradation in performance. For instance, performance of an 800M parameter model can be degraded to that of a 2x smaller model (400M params) by repeating 0.1%..."}],"related_signals":[{"id":"6c78c028-3ab4-4b33-86f7-d86c8ba9e3ba","url":"https://onlylabs.fyi/signals/6c78c028-3ab4-4b33-86f7-d86c8ba9e3ba","source_url":"https://www.anthropic.com/research/agents-in-biology","title":"Agents In Biology","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"anthropic","name":"Anthropic","category":"frontier-lab"},"occurred_at":"2026-06-10T15:16:01+00:00","first_seen_at":"2026-06-09T02:17:26.339488+00:00","date_source":"sitemap.lastmod"},{"id":"2648db51-9d6a-42a9-aece-a0ca5f9ce64f","url":"https://onlylabs.fyi/signals/2648db51-9d6a-42a9-aece-a0ca5f9ce64f","source_url":"https://www.anthropic.com/news/claude-fable-5-mythos-5","title":"Claude Fable 5 Mythos 5","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"anthropic","name":"Anthropic","category":"frontier-lab"},"occurred_at":"2026-06-09T20:27:50+00:00","first_seen_at":"2026-06-10T07:01:05.666054+00:00","date_source":"sitemap.lastmod"},{"id":"8475487f-45b4-4689-9bc5-8e4c6ca0457d","url":"https://onlylabs.fyi/signals/8475487f-45b4-4689-9bc5-8e4c6ca0457d","source_url":"https://www.anthropic.com/engineering/how-we-contain-claude","title":"How We Contain Claude","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"anthropic","name":"Anthropic","category":"frontier-lab"},"occurred_at":"2026-06-06T00:28:16+00:00","first_seen_at":"2026-06-09T02:17:26.339488+00:00","date_source":"sitemap.lastmod"},{"id":"e4fbfcdd-15b4-41b9-b011-fd83e7068ae9","url":"https://onlylabs.fyi/signals/e4fbfcdd-15b4-41b9-b011-fd83e7068ae9","source_url":"https://www.anthropic.com/research/making-claude-a-chemist","title":"Making Claude A Chemist","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"anthropic","name":"Anthropic","category":"frontier-lab"},"occurred_at":"2026-06-05T20:13:40+00:00","first_seen_at":"2026-06-09T02:17:26.339488+00:00","date_source":"sitemap.lastmod"},{"id":"cc62deba-9682-4751-aa6b-81c3bd7122a0","url":"https://onlylabs.fyi/signals/cc62deba-9682-4751-aa6b-81c3bd7122a0","source_url":"https://www.anthropic.com/research/measuring-agent-autonomy","title":"Measuring Agent Autonomy","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"anthropic","name":"Anthropic","category":"frontier-lab"},"occurred_at":"2026-06-05T15:49:18+00:00","first_seen_at":"2026-06-09T02:17:26.339488+00:00","date_source":"sitemap.lastmod"},{"id":"93da14fd-7141-4e17-abd6-1c8d52435c70","url":"https://onlylabs.fyi/signals/93da14fd-7141-4e17-abd6-1c8d52435c70","source_url":"https://www.anthropic.com/research/values-wild","title":"Values Wild","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"anthropic","name":"Anthropic","category":"frontier-lab"},"occurred_at":"2026-06-05T15:38:54+00:00","first_seen_at":"2026-06-09T02:17:26.339488+00:00","date_source":"sitemap.lastmod"}]}