{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Writing: Where the goblins came from","description":"OpenAI writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/5fb73048-6136-492e-adb2-81a1d0b42cab","json_url":"https://onlylabs.fyi/signals/5fb73048-6136-492e-adb2-81a1d0b42cab/signal.json","generated_at":"2026-06-08T15:45:09.068+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/5fb73048-6136-492e-adb2-81a1d0b42cab","signal_json":"https://onlylabs.fyi/signals/5fb73048-6136-492e-adb2-81a1d0b42cab/signal.json","source":"https://openai.com/index/where-the-goblins-came-from","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":null},"answer_pack":{"answer":"OpenAI published Where the goblins came from. 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Unlike model bugs that show up through a tanking eval or a spiking training metric and point back to a specific change, this one crept in subtly. A single “little goblin” in an answer could be harmless, even charming. Across model generations, though, the habit became hard to miss: the goblins kept multiplying, and we needed to figure out where they came from. In early testing, GPT‑5.5 in Codex showed an odd affinity for goblin metaphors. The short answer is that model behavior is shaped by many small incentives. In this case, one of those incentives came from training the model for the personality customization feature⁠, in particular the Nerdy personality. We unknowingly gave particularly high rewards for metaphors with creatures. From there, the goblins spread. The goblins were funny at first, but the increasing number of employee reports became concerning. An interesting interaction our Chief Scientist had with GPT‑5.5. The first..."},"evidence_pages":[{"url":"https://openai.com/index/where-the-goblins-came-from","final_url":"https://openai.com/index/where-the-goblins-came-from","title":"Where the goblins came from","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:45:09.068+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":true,"excerpt":"Where the goblins came from | OpenAI April 29, 2026 Where the goblins came from Loading… Share Starting with GPT‑5.1, our models began developing a strange habit: they increasingly mentioned goblins, gremlins, and other creatures in their metaphors. Unlike model bugs that show up through a tanking eval or a spiking training metric and point back to a specific change, this one crept in subtly. A single “little goblin” in an answer could be harmless, even charming. 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