Why OpenAI's 'goblin' problem matters — and how you can release the goblins on your own
Why this matters: a development in AI with implications for how people work, create, and decide.
AI is more than a technology — it's magic.Don't believe me? Why, then, is one of the leading companies in the space, Open AI, publishing entire official, corporate blog posts about goblins?To understand, we first have to go back to earlier this week, on Monday, April 27, 2026, when a developer under the handle @arb8020 on the social network X posted a snippet from the Open AI open source Codex Git Hub repository, specifically a file named models.json. Deep within the instructions for the new OpenAI large language model (LLM) GPT-5.5, a peculiar directive stood out, repeated four times for emphasis:"Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query."The discovery sent a shockwave through the "power user" and machine learning (ML) researcher circles. Within hours, the post had gone viral, not because of a security flaw, but because of its sheer, baffling specificity.Why had the world’s leading AI laboratory issued what Reddit users quickly dubbed a "restraining order" against pigeons and raccoons?Goblin speculation aboundsThe initial reaction was a chaotic blend of humor and technical skepticism. On Reddit’s r/ChatGPT and r/OpenAI, users began sharing screenshots of GPT-5.5’s behavior prior to the patch. Barron Roth, a Senior Project Manager of Applied AI at Google, shared an image on X under his handle @iamBarronRoth of his GPT-5.5 powered OpenClaw agent that seemed "obsessed with goblins." Others reported that the model stubbornly referred to technical bugs as "gremlins in the machine".Developers like Sterling Crispin leaned into the absurdity, jokingly theorizing that the massive water consumption of modern data centers was actually needed to cool "the goblins being forced to work". More seriously, researchers on Hacker News and beyond discussed the "Pink Elephant" problem. In prompt engineering, telling a model not to think of someth