{"id":426226,"date":"2026-05-03T04:26:28","date_gmt":"2026-05-02T22:56:28","guid":{"rendered":"https:\/\/dripp.zone\/news\/explained-what-went-wrong-with-chatgpt-how-did-goblins-enter-openais-chatbot-crypto-news\/"},"modified":"2026-05-03T04:41:56","modified_gmt":"2026-05-02T23:11:56","slug":"explained-what-went-wrong-with-chatgpt-how-did-goblins-enter-openais-chatbot-crypto-news","status":"publish","type":"post","link":"https:\/\/dripp.zone\/news\/explained-what-went-wrong-with-chatgpt-how-did-goblins-enter-openais-chatbot-crypto-news\/","title":{"rendered":"Explained: What went wrong with ChatGPT? How did \u2018goblins\u2019 enter OpenAI\u2019s chatbot? – Crypto News"},"content":{"rendered":"

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OpenAI has done an autopsy of ChatGPT’s recent Goblin problem, revealing what went wrong with the chatbot to develop a bizarre obsession with mythical creatures like goblins and gremlins. The response from OpenAI came just a day after it was revealed that the company had explicitly banned its Codex AI assistant from talking about these creatures.<\/p>\n<\/div>\n

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What went wrong with ChatGPT?<\/h2>\n

In a blog post explaining the issue, OpenAI<\/a> says it first noticed the problem with GPT-5.1<\/a> when the model began increasingly referencing goblins, gremlins, and other creatures in its metaphors.<\/p>\n<\/div>\n

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\u201cA single \u2018little goblin\u2019 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,\u201d the company explained in its blog post.<\/p>\n<\/div>\n

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While OpenAI says that the issue may even predate GPT-5.1, it explained that an investigation by the company found that the use of the word “goblin” in ChatGPT had spiked by 175% following the launch of GPT-5.1, while “gremlin” usage rose by 52%.<\/p>\n<\/div>\n

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While the use of goblins<\/a> in conversations did not immediately raise alarm bells for the company, the creatures would be back months later \u201cto haunt us in a much more specific and reproducible form.\u201d<\/p>\n<\/div>\n

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But how exactly does a chatbot start using mythical creatures in its responses? The answer, as it turns out, was related to a previous issue that OpenAI had.<\/p>\n<\/div>\n

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Why did ChatGPT start referencing goblins?<\/h2>\n

In the middle of last year, OpenAI’s GPT-5<\/a> was among the biggest AI model launches, but when the model eventually arrived, it annoyed more users than it pleased. OpenAI not only removed the previous GPT-4o model, which had become popular due to its people-pleasing personality, along with other legacy models, but the company’s latest GPT-5 release also felt flat to many users, which led the company to add four personalities to give users more choice over their engagements with the chatbot.<\/p>\n<\/div>\n

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One of those personalities was called \u2018Nerdy\u2019, whose system prompt instructed the AI to be \u2018an unapologetically nerdy, playful, and wise AI mentor to a human\u2019 while undercutting pretension through quirky language.<\/p>\n<\/div>\n

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The company says that the problem stemmed during the training of the GPT-5.1 model, where it unintentionally rewarded the AI for using creative metaphors, including those involving creatures. OpenAI noted that while the Nerdy personality accounted for just 2.5% of all ChatGPT responses, it was responsible for a massive 66.7% of all “goblin” mentions during the GPT-5.4 era.<\/p>\n<\/div>\n

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\u201cWe unknowingly gave particularly high rewards for metaphors with creatures. From there, the goblins spread,\u201d OpenAI explained.<\/p>\n<\/div>\n

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How did the goblins escape?<\/h2>\n

The problems began to compound for OpenAI, as even users who had never selected the Nerdy personality started seeing metaphors with the use of goblins and other mythical creatures.<\/p>\n<\/div>\n

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The company blamed this problem on how an AI training<\/a> method called reinforcement learning generalizes data. Notably, reinforcement learning is a training process where the model is rewarded for producing certain types of responses, and over time, it learns to repeat patterns that get higher scores.<\/p>\n<\/div>\n

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However, reinforcement learning does not guarantee that learned behaviors by the AI stay neatly boxed into the specific scenario that produced them. Once a \u2018style tic\u2019 is rewarded, the AI can start generalizing that behavior and applying it everywhere.<\/p>\n<\/div>\n

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Upon further investigation, OpenAI found that while the issue began with terms like \u2018goblin\u2019 and \u2018gremlin\u2019, the model also began developing an affinity for an entire family of other odd creatures, including raccoons, trolls, ogres, and pigeons.<\/p>\n<\/div>\n

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What did OpenAI do to fix the issue?<\/h2>\n

In order to fix the issue in its chatbot, OpenAI has taken a number of steps, including retiring the \u2018Nerdy\u2019 personality with GPT-5.4 and removing the \u2018goblin-affine reward signal\u2019 in model training, while also filtering data containing creature words.<\/p>\n<\/div>\n

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