{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Writing: Why language models hallucinate","description":"OpenAI writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/6f3e3af0-5aa9-4b89-9f39-09b63e471356","json_url":"https://onlylabs.fyi/signals/6f3e3af0-5aa9-4b89-9f39-09b63e471356/signal.json","generated_at":"2026-06-08T15:45:36.575+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/6f3e3af0-5aa9-4b89-9f39-09b63e471356","signal_json":"https://onlylabs.fyi/signals/6f3e3af0-5aa9-4b89-9f39-09b63e471356/signal.json","source":"https://openai.com/index/why-language-models-hallucinate","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":"evals","label":"Evals and quality","url":"https://onlylabs.fyi/data-radar/evals","json_url":"https://onlylabs.fyi/data-radar/evals/signals.json"},{"key":"infrastructure","label":"Infrastructure","url":"https://onlylabs.fyi/data-radar/infrastructure","json_url":"https://onlylabs.fyi/data-radar/infrastructure/signals.json"},{"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":"OpenAI published Why language models hallucinate. 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Even as language models become more capable, one challenge remains stubbornly hard to fully solve: hallucinations. By this we mean instances where a model confidently generates an answer that isn’t true. Our new research paper⁠ argues that language models hallucinate because standard training and evaluation procedures reward guessing over acknowledging uncertainty. ChatGPT also hallucinates. GPT‑5 has significantly fewer hallucinations especially when reasoning⁠, but they still occur. Hallucinations remain a fundamental challenge for all large language models, but we are working hard to further reduce them. What are hallucinations? Hallucinations are plausible but false statements generated by language models. They can show up in surprising ways, even for seemingly straightforward questions. For example, when we asked a widely used chatbot for the title of the PhD dissertation by Adam Tauman Kalai (an author of this paper), it confidently produced three different answers—none of them correct. When we..."},"evidence_pages":[{"url":"https://openai.com/index/why-language-models-hallucinate","final_url":"https://openai.com/index/why-language-models-hallucinate","title":"Why language models hallucinate","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:45:36.575+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":true,"excerpt":"Why language models hallucinate | OpenAI September 5, 2025 Why language models hallucinate Loading… Share At OpenAI, we’re working hard to make AI systems more useful and reliable. Even as language models become more capable, one challenge remains stubbornly hard to fully solve: hallucinations. By this we mean instances where a model confidently generates an answer that isn’t true. Our new research paper⁠ argues that language models hallucinate because standard training and evaluation procedures reward guessing over acknowledging uncertainty. ChatGPT also hallucinates. GPT‑5 has significantly fewer hallucinations especially when reasoning⁠, but they still occur. Hallucinations remain a fundamental challenge for all large language models, but we are working hard to further reduce them. What are hallucinations? Hallucinations are plausible but false statements generated by language models. They can show up in surprising ways, even for seemingly straightforward questions. For example, when we asked a widely used chatbot for the title of the PhD dissertation by Adam Tauman Kalai (an author of this paper), it confidently produced three different answers—none of them correct. 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