{"schema_version":"onlylabs.public_signal.v1","title":"Anthropic Writing: Influence Functions","description":"Anthropic writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/6512c638-6a7e-46db-bd6a-c5ed4a7b06b2","json_url":"https://onlylabs.fyi/signals/6512c638-6a7e-46db-bd6a-c5ed4a7b06b2/signal.json","generated_at":"2026-06-11T04:18:07.95262+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/6512c638-6a7e-46db-bd6a-c5ed4a7b06b2","signal_json":"https://onlylabs.fyi/signals/6512c638-6a7e-46db-bd6a-c5ed4a7b06b2/signal.json","source":"https://www.anthropic.com/research/influence-functions","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":null},"answer_pack":{"answer":"Anthropic published Influence Functions. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Tracing Model Outputs to the Training Data \\ Anthropic Alignment Research Tracing Model Outputs to the Training Data Aug 8, 2023 As large language models become more.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","signal_desk":"talking","source_context":{"source_url":"https://www.anthropic.com/research/influence-functions","source_host":"anthropic.com","occurred_at":"2023-08-08T00:00:00.000Z","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":"Watch term","value":"RL environments","source":"evidence"},{"label":"Watch term","value":"Data pipeline","source":"evidence"},{"label":"Watch term","value":"Infrastructure","source":"evidence"},{"label":"Watch 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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/6512c638-6a7e-46db-bd6a-c5ed4a7b06b2/signal.json","required":true},{"label":"source","url":"https://www.anthropic.com/research/influence-functions","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/anthropic/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/anthropic/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 Anthropic's writing signal \"Influence Functions\" for frontier lab strategy."},"semantic_triples":[{"subject":"Anthropic","predicate":"published","object":"Influence Functions","text":"Anthropic published Influence Functions."},{"subject":"Influence Functions","predicate":"is classified as","object":"writing signal","text":"Influence Functions is classified as writing signal."},{"subject":"Influence Functions","predicate":"belongs to","object":"talking desk","text":"Influence Functions belongs to talking desk."},{"subject":"Influence Functions","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Influence Functions has evidence coverage 1 captured evidence page."},{"subject":"Influence Functions","predicate":"has captured page count","object":"1","text":"Influence Functions has captured page count 1."},{"subject":"Influence Functions","predicate":"has readable page count","object":"1","text":"Influence Functions has readable page count 1."},{"subject":"Influence Functions","predicate":"has related signal count","object":"6","text":"Influence Functions has related signal count 6."},{"subject":"Influence Functions","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":"Influence Functions 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":"Influence Functions","predicate":"has source host","object":"anthropic.com","text":"Influence Functions has source host anthropic.com."},{"subject":"Influence Functions","predicate":"has lab","object":"Anthropic","text":"Influence Functions has lab Anthropic."},{"subject":"Influence Functions","predicate":"has signal desk","object":"talking","text":"Influence Functions has signal desk 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Influence Functions. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Tracing Model Outputs to the Training Data \\ Anthropic Alignment Research Tracing Model Outputs to the Training Data Aug 8, 2023 As large language models become more.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","semantic_triples":[{"subject":"Anthropic","predicate":"published","object":"Influence Functions","text":"Anthropic published Influence Functions."},{"subject":"Influence Functions","predicate":"is classified as","object":"writing signal","text":"Influence Functions is classified as writing signal."},{"subject":"Influence Functions","predicate":"belongs to","object":"talking desk","text":"Influence Functions belongs to talking desk."},{"subject":"Influence Functions","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Influence Functions has evidence coverage 1 captured evidence page."}]},"signal":{"id":"6512c638-6a7e-46db-bd6a-c5ed4a7b06b2","url":"https://onlylabs.fyi/signals/6512c638-6a7e-46db-bd6a-c5ed4a7b06b2","json_url":"https://onlylabs.fyi/signals/6512c638-6a7e-46db-bd6a-c5ed4a7b06b2/signal.json","source_url":"https://www.anthropic.com/research/influence-functions","title":"Influence Functions","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":"2023-08-08T00:00:00.000Z","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/influence-functions"]},"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://www.anthropic.com/research/influence-functions","final_url":"https://www.anthropic.com/research/influence-functions","title":"Influence Functions","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T04:18:07.95262+00:00","bytes":139578,"raw_path":"bd6ba7fd3de06e77a717d37798192642683da7069edf5d8abf266131a6ecee77.html","content_hash":"93c3fe284c0ae556ba0911348df8d52fd5be4c5158f72297e8204a98681e2cb2","excerpt_chars":1200,"truncated":true,"excerpt":"Tracing Model Outputs to the Training Data \\ Anthropic Alignment Research Tracing Model Outputs to the Training Data Aug 8, 2023 As large language models become more powerful and their risks become clearer, there is increasing value to figuring out what makes them tick. In our previous work , we have found that large language models change along many personality and behavioral dimensions as a function of both scale and the amount of fine-tuning. Understanding these changes requires seeing how models work, for instance to determine if a model’s outputs rely on memorization or more sophisticated processing. Understanding the inner workings of language models will have substantial implications for forecasting AI capabilities as well as for approaches to aligning AI systems with human preferences. Mechanistic interpretability takes a bottom-up approach to understanding ML models: understanding in detail the behavior of individual units or small-scale circuits such as induction heads. But we also see value in a top-down approach, starting with a model’s observable behaviors and generalization patterns and digging down to see what neurons and circuits are responsible. 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In our previous work , we have found that large language models change along many personality and behavioral dimensions as a function of both scale and the amount of fine-tuning. Understanding these changes requires seeing how models work, for instance to determine if a model’s outputs rely on memorization or more sophisticated processing. Understanding the inner workings of language models will have substantial implications for forecasting AI capabilities as well as for approaches to aligning AI systems with human preferences. Mechanistic interpretability takes a bottom-up approach to understanding ML models: understanding in detail the behavior of individual units or small-scale circuits such as induction heads. But we also see value in a top-down approach, starting with a model’s observable behaviors and generalization patterns and digging down to see what neurons and circuits are responsible. 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