{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Writing: The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions","description":"OpenAI writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/9ce5ab8b-8933-4f54-a40a-99da47d050f8","json_url":"https://onlylabs.fyi/signals/9ce5ab8b-8933-4f54-a40a-99da47d050f8/signal.json","generated_at":"2026-06-08T15:46:07.032+00:00","org":{"slug":"openai","name":"OpenAI","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/openai","dossier_json_url":"https://onlylabs.fyi/labs/openai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/9ce5ab8b-8933-4f54-a40a-99da47d050f8","signal_json":"https://onlylabs.fyi/signals/9ce5ab8b-8933-4f54-a40a-99da47d050f8/signal.json","source":"https://openai.com/index/the-instruction-hierarchy","lab_dossier":"https://onlylabs.fyi/labs/openai","lab_dossier_json":"https://onlylabs.fyi/labs/openai/dossier.json","analysis":"https://onlylabs.fyi/analysis/openai","analysis_json":"https://onlylabs.fyi/analysis/openai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/openai/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":"infrastructure","label":"Infrastructure","url":"https://onlylabs.fyi/data-radar/infrastructure","json_url":"https://onlylabs.fyi/data-radar/infrastructure/signals.json"}]}},"answer_pack":{"answer":"OpenAI published The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions | OpenAI April 19, 2024 The Instruction Hierarchy: Training LLMs to Prioritize Privileged.... onlylabs links this event to 1 captured evidence page and 6 related writing signals. It also maps to Infrastructure in the data-business radar.","signal_desk":"talking","source_context":{"source_url":"https://openai.com/index/the-instruction-hierarchy","source_host":"openai.com","occurred_at":"2024-04-19T19:00:00+00:00","first_seen_at":"2026-06-05T05:42:57.832854+00:00","date_source":"rss.item_date","context":null},"context_markers":[{"label":"Lab","value":"OpenAI","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"openai.com","source":"source"},{"label":"Radar lane","value":"Infrastructure","source":"radar"},{"label":"Matched term","value":"training","source":"radar"},{"label":"Watch 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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?","Which data-business lane explains this signal: Infrastructure?","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 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In this work, we argue that one of the primary vulnerabilities underlying these attacks is that LLMs often consider system prompts (e.g., text from an application developer) to be the same priority as text from untrusted users and third parties. To address this, we propose an instruction hierarchy that explicitly defines how models should behave when instructions of different priorities conflict. We then propose a data generation method to demonstrate this hierarchical instruction following behavior, which teaches LLMs to selectively ignore lower-privileged instructions. We apply this method to GPT‑3.5, showing that it drastically increases robustness -- even for attack types not seen during training -- while imposing minimal degradations on standard capabilities. Authors"},"evidence_pages":[{"url":"https://openai.com/index/the-instruction-hierarchy","final_url":"https://openai.com/index/the-instruction-hierarchy","title":"The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:46:07.032+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":false,"excerpt":"The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions | OpenAI April 19, 2024 The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions Share Abstract Today's LLMs are susceptible to prompt injections, jailbreaks, and other attacks that allow adversaries to overwrite a model's original instructions with their own malicious prompts. In this work, we argue that one of the primary vulnerabilities underlying these attacks is that LLMs often consider system prompts (e.g., text from an application developer) to be the same priority as text from untrusted users and third parties. To address this, we propose an instruction hierarchy that explicitly defines how models should behave when instructions of different priorities conflict. We then propose a data generation method to demonstrate this hierarchical instruction following behavior, which teaches LLMs to selectively ignore lower-privileged instructions. We apply this method to GPT‑3.5, showing that it drastically increases robustness -- even for attack types not seen during training -- while imposing minimal degradations on standard capabilities. 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