{"schema_version":"onlylabs.public_signal.v1","title":"Anthropic Writing: A General Language Assistant As A Laboratory For Alignment","description":"Anthropic writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/ced9661f-ffd3-4cc8-b75c-16e5473d2557","json_url":"https://onlylabs.fyi/signals/ced9661f-ffd3-4cc8-b75c-16e5473d2557/signal.json","generated_at":"2026-06-11T04:18:10.990695+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/ced9661f-ffd3-4cc8-b75c-16e5473d2557","signal_json":"https://onlylabs.fyi/signals/ced9661f-ffd3-4cc8-b75c-16e5473d2557/signal.json","source":"https://www.anthropic.com/research/a-general-language-assistant-as-a-laboratory-for-alignment","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":"safety","label":"Safety and policy","url":"https://onlylabs.fyi/data-radar/safety","json_url":"https://onlylabs.fyi/data-radar/safety/signals.json"}]}},"answer_pack":{"answer":"Anthropic published A General Language Assistant As A Laboratory For Alignment. 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As an initial foray in this direction we study simple baseline techniques and evaluations, such as prompting. We find that the benefits from modest interventions increase with model size, generalize to a variety of alignment evaluations, and do not compromise the performance of large models. Next we investigate scaling trends for several training objectives relevant to alignment, comparing imitation learning, binary discrimination, and ranked preference modeling. We find that ranked preference modeling performs much better than imitation learning, and often scales more favorably with model size. In contrast, binary discrimination typically performs and scales very similarly to imitation learning. 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