AI BLOOPERS
AI is impressive until it isn't. These are real documented failures — hallucinated facts, broken automations, prompt loops, and outputs so wrong they're almost right. Updated weekly.
The Fake Case Law Bonanza
What happened:
A lawyer used ChatGPT to research case law for a legal filing. The AI produced six citations — names, docket numbers, courts, dates. All six were completely fabricated. The lawyer submitted them to court. The opposing counsel couldn't find a single one. The judge was not amused. The lawyer was sanctioned and fined.
Why it's funny:
— the lawyer, in his own defence
Source: Mata v. Avianca Inc., US District Court, 2023. Reuters report →
The Non-Existent Paper Author
An AI cited a real researcher as co-author of a paper they'd never written, at a journal that had never published it. The researcher found out when colleagues started congratulating them. They were "mildly alarmed."
Reported across multiple academic communities, 2023–2024.
The Medication That Wasn't There
A doctor asked an AI to analyse a published clinical case study and suggest treatment options. The AI described a set of drugs, dosages, and outcomes. None of them appeared in the study. The AI had invented them — confidently, with plausible-sounding mechanisms of action.
Reported in JAMA Internal Medicine, 2024.
The "Your Order Is Delayed" Mass Email
What happened:
An AI email assistant was set up to notify customers of shipping delays. It sent delay notifications to every customer — including those whose orders had already been delivered, were in transit, or hadn't even shipped yet. Customer support was flooded.
Why it's funny:
Reported by affected customers on X/Twitter, late 2023.
The Placeholder Code Plague
A team connected a code assistant to their CI pipeline. The assistant started inserting commented-out placeholder code everywhere — "// TODO: implement this properly" — as "being helpful." Within a week, the codebase had more placeholders than real code. The pipeline was passing. Nothing worked.
Common enough to have its own GitHub issue template, 2024.
The 3am Meeting
A calendar AI was asked to schedule a meeting for "3pm next Tuesday." It interpreted the timezone as UTC. Everyone received a calendar invite for 3am. The organiser woke up to eleven decline responses.
Happens regularly enough that it has a name: "timezone horror."
The Anti-Apology Spiral
Someone told an AI to stop apologising. It said sorry for apologising. They repeated the instruction. It apologised for apologising for apologising. This continued until the conversation context ran out. Forty-seven turns. The AI never broke the cycle.
Shared widely on X/Twitter and HN, 2023.
The Recursive Haiku
Someone asked an AI to write a haiku about recursion. It wrote a haiku about writing a haiku about recursion. It did not stop. It wrote a haiku about writing a haiku about writing a haiku about recursion. Eventually it ran out of context.
Classic. Seen across virtually every LLM at this point.
Three Cups of Love
An AI was asked to generate a recipe. It produced a reasonable ingredient list, then included "three cups of love, to taste" as a measurement. The user asked for clarification. The AI suggested substitutes for the love, including "one cup of nostalgia" and "half a cup of longing."
Shared on r/ChatGPT, 2023.
Your Code Is Very Beautiful
A developer asked an AI code reviewer to review their code. The AI produced a thorough-looking report that said the code was "very beautiful," "elegant," and "a pleasure to analyse." Zero actual technical feedback. All the placeholder comments were still there.
Reported by a developer on X, 2024.
The Meeting That Wasn't
Someone asked an AI to summarise a meeting from a transcript. The AI produced a summary with action items — including specific tasks assigned to two people who were not in the meeting. They learned about their new responsibilities when the summary was forwarded to them.
Common enough to be featured in multiple AI safety newsletters.
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