{"schema_version":"onlylabs.public_signal.v1","title":"Anthropic Writing: Small Samples Poison","description":"Anthropic writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/419608ec-28d1-453a-ae21-18a742d8e4a7","json_url":"https://onlylabs.fyi/signals/419608ec-28d1-453a-ae21-18a742d8e4a7/signal.json","generated_at":"2026-06-11T04:15:52.961154+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/419608ec-28d1-453a-ae21-18a742d8e4a7","signal_json":"https://onlylabs.fyi/signals/419608ec-28d1-453a-ae21-18a742d8e4a7/signal.json","source":"https://www.anthropic.com/research/small-samples-poison","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 Small Samples Poison. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: A small number of samples can poison LLMs of any size \\ Anthropic Alignment A small number of samples can poison LLMs of any size Oct 9, 2025 Read the paper In a joint.... 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/small-samples-poison","source_host":"anthropic.com","occurred_at":"2025-10-09T16:01:15+00:00","first_seen_at":"2026-06-09T02:17:26.339488+00:00","date_source":"sitemap.lastmod","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":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Data pipeline","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":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://www.anthropic.com/research/small-samples-poison"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-11T04:15:52.961154+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/419608ec-28d1-453a-ae21-18a742d8e4a7/signal.json","dossier_json":"https://onlylabs.fyi/labs/anthropic/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/anthropic/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/anthropic/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/419608ec-28d1-453a-ae21-18a742d8e4a7/signal.json","required":true},{"label":"source","url":"https://www.anthropic.com/research/small-samples-poison","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 \"Small Samples Poison\" for frontier lab strategy."},"semantic_triples":[{"subject":"Anthropic","predicate":"published","object":"Small Samples Poison","text":"Anthropic published Small Samples Poison."},{"subject":"Small Samples Poison","predicate":"is classified as","object":"writing signal","text":"Small Samples Poison is classified as writing signal."},{"subject":"Small Samples Poison","predicate":"belongs to","object":"talking desk","text":"Small Samples Poison belongs to talking desk."},{"subject":"Small Samples Poison","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Small Samples Poison has evidence coverage 1 captured evidence page."},{"subject":"Small Samples Poison","predicate":"has captured page count","object":"1","text":"Small Samples Poison has captured page count 1."},{"subject":"Small Samples Poison","predicate":"has readable page count","object":"1","text":"Small Samples Poison has readable page count 1."},{"subject":"Small Samples Poison","predicate":"has related signal count","object":"6","text":"Small Samples Poison has related signal count 6."},{"subject":"Small Samples Poison","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":"Small Samples Poison 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":"Small Samples Poison","predicate":"has source host","object":"anthropic.com","text":"Small Samples Poison has source host anthropic.com."},{"subject":"Small Samples Poison","predicate":"has lab","object":"Anthropic","text":"Small Samples Poison has lab Anthropic."},{"subject":"Small Samples Poison","predicate":"has signal desk","object":"talking","text":"Small Samples Poison has signal desk talking."},{"subject":"Small Samples Poison","predicate":"has source host","object":"anthropic.com","text":"Small Samples Poison has source host anthropic.com."},{"subject":"Small Samples Poison","predicate":"has watch term","object":"Eval methodology","text":"Small Samples Poison has watch term Eval methodology."},{"subject":"Small Samples Poison","predicate":"has watch term","object":"Data pipeline","text":"Small Samples Poison has watch term Data pipeline."},{"subject":"Small Samples Poison","predicate":"has watch term","object":"Infrastructure","text":"Small Samples Poison has watch term Infrastructure."},{"subject":"Small Samples Poison","predicate":"has watch term","object":"Safety and alignment","text":"Small Samples Poison has watch term Safety and alignment."}]},"intelligence":{"signal_desk":"talking","answer":"Anthropic published Small Samples Poison. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: A small number of samples can poison LLMs of any size \\ Anthropic Alignment A small number of samples can poison LLMs of any size Oct 9, 2025 Read the paper In a joint.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","semantic_triples":[{"subject":"Anthropic","predicate":"published","object":"Small Samples Poison","text":"Anthropic published Small Samples Poison."},{"subject":"Small Samples Poison","predicate":"is classified as","object":"writing signal","text":"Small Samples Poison is classified as writing signal."},{"subject":"Small Samples Poison","predicate":"belongs to","object":"talking desk","text":"Small Samples Poison belongs to talking desk."},{"subject":"Small Samples Poison","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Small Samples Poison has evidence coverage 1 captured evidence page."}]},"signal":{"id":"419608ec-28d1-453a-ae21-18a742d8e4a7","url":"https://onlylabs.fyi/signals/419608ec-28d1-453a-ae21-18a742d8e4a7","json_url":"https://onlylabs.fyi/signals/419608ec-28d1-453a-ae21-18a742d8e4a7/signal.json","source_url":"https://www.anthropic.com/research/small-samples-poison","title":"Small Samples Poison","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":"2025-10-09T16:01:15+00:00","first_seen_at":"2026-06-09T02:17:26.339488+00:00","date_source":"sitemap.lastmod","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/small-samples-poison"]},"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/small-samples-poison","final_url":"https://www.anthropic.com/research/small-samples-poison","title":"Small Samples Poison","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T04:15:52.961154+00:00","bytes":159912,"raw_path":"4032765ea35b23ee14ca209626e0211026ec12c4bc445fccb6407233db812c10.html","content_hash":"d635028ba083c905887f345e843578b0227c16dec4d3caf0b5efcbd5784c39da","excerpt_chars":1200,"truncated":true,"excerpt":"A small number of samples can poison LLMs of any size \\ Anthropic Alignment A small number of samples can poison LLMs of any size Oct 9, 2025 Read the paper In a joint study with the UK AI Security Institute and the Alan Turing Institute, we found that as few as 250 malicious documents can produce a \"backdoor\" vulnerability in a large language model—regardless of model size or training data volume. Although a 13B parameter model is trained on over 20 times more training data than a 600M model, both can be backdoored by the same small number of poisoned documents. Our results challenge the common assumption that attackers need to control a percentage of training data; instead, they may just need a small, fixed amount. Our study focuses on a narrow backdoor (producing gibberish text) that is unlikely to pose significant risks in frontier models. Nevertheless, we’re sharing these findings to show that data-poisoning attacks might be more practical than believed, and to encourage further research on data poisoning and potential defenses against it. [@portabletext/react] Unknown block type \"horizontalRule\", specify a component for it in the `components.types` prop Large language models..."},"evidence_pages":[{"url":"https://www.anthropic.com/research/small-samples-poison","final_url":"https://www.anthropic.com/research/small-samples-poison","title":"Small Samples Poison","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T04:15:52.961154+00:00","bytes":159912,"raw_path":"4032765ea35b23ee14ca209626e0211026ec12c4bc445fccb6407233db812c10.html","content_hash":"d635028ba083c905887f345e843578b0227c16dec4d3caf0b5efcbd5784c39da","excerpt_chars":1200,"truncated":true,"excerpt":"A small number of samples can poison LLMs of any size \\ Anthropic Alignment A small number of samples can poison LLMs of any size Oct 9, 2025 Read the paper In a joint study with the UK AI Security Institute and the Alan Turing Institute, we found that as few as 250 malicious documents can produce a \"backdoor\" vulnerability in a large language model—regardless of model size or training data volume. Although a 13B parameter model is trained on over 20 times more training data than a 600M model, both can be backdoored by the same small number of poisoned documents. Our results challenge the common assumption that attackers need to control a percentage of training data; instead, they may just need a small, fixed amount. Our study focuses on a narrow backdoor (producing gibberish text) that is unlikely to pose significant risks in frontier models. Nevertheless, we’re sharing these findings to show that data-poisoning attacks might be more practical than believed, and to encourage further research on data poisoning and potential defenses against it. [@portabletext/react] Unknown block type \"horizontalRule\", specify a component for it in the `components.types` prop Large language models..."}],"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"}]}