{"schema_version":"onlylabs.public_signal.v1","title":"Anthropic Writing: Bloom","description":"Anthropic writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/1d970590-34b3-4222-b496-5b69b7bb7869","json_url":"https://onlylabs.fyi/signals/1d970590-34b3-4222-b496-5b69b7bb7869/signal.json","generated_at":"2026-06-11T04:15:06.173303+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/1d970590-34b3-4222-b496-5b69b7bb7869","signal_json":"https://onlylabs.fyi/signals/1d970590-34b3-4222-b496-5b69b7bb7869/signal.json","source":"https://www.anthropic.com/research/bloom","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 Bloom. This talking signal gives public context for research themes, product direction, policy, or launch framing. 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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/1d970590-34b3-4222-b496-5b69b7bb7869/signal.json","required":true},{"label":"source","url":"https://www.anthropic.com/research/bloom","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 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Bloom takes a researcher-specified behavior and quantifies its frequency and severity across automatically generated scenarios. Bloom's evaluations correlate strongly with our hand-labeled judgments and we find they reliably separate baseline models from intentionally misaligned ones. As examples of this, we release benchmark results for four alignment relevant behaviors on 16 models. Bloom is available here . High-quality behavioral evaluations are essential for understanding alignment in frontier AI models. But evaluations generally take a long time to develop, and then run the risk of becoming obsolete: the evaluations can “contaminate” training sets for new models, or capabilities can improve to such an extent that the evaluation no longer really tests what we’re interested in. 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