ChatGPT Coffee Reading Leads to Divorce After Alleged Affair Prediction

A Greek woman married for 12 years used ChatGPT to analyze the leftover coffee grounds from her and her husband’s cups. The AI chatbot purportedly “warned” her that her husband was romantically involved with a younger woman whose name began with “E,” prompting her to file for divorce just days later. The husband denies any infidelity, calling the AI “reading” “nonsense”, but his wife insisted on serving divorce papers within three days. The bizarre case has caught the attention of legal experts, especially after the husband’s lawyer pointed out that an AI coffee-cup reading carries no legal weight.

ChatGPT Fortune-Telling: Ancient Ritual Meets Modern AI

In Greece, reading coffee grounds (tasseography) is a folkloric tradition, but this time it was done by a chatbot. The wife uploaded photos of both cups into ChatGPT, seeking a modern interpretation. The chatbot allegedly replied that the husband was fantasizing about a woman named “E” and was “destined” to begin an affair with her. For the wife’s cup, ChatGPT fortune was even grimmer: it said the husband was already cheating with a “homewrecker”. Shocked by these predictions, the wife asked her husband to pack his things, told their children the marriage was over, and delivered divorce papers within days.

AI Divorce and the Law: Can Chatbot “Evidence” Hold Up?

The husband remains adamant that the AI’s claim was baseless. In a TV interview he laughed it off as one of his wife’s “trendy” experiments and denied the affair. He refused to agree to an amicable split, so his wife went ahead and filed formal divorce papers. Now the couple’s lawyers have weighed in. The husband’s attorney has emphasized that c coffee-cup analysis is not real evidence. According to reports, the lawyer clarified that an AI-generated “reading” of a coffee cup is neither admissible proof of adultery nor a valid reason for divorce. He added that “we are dealing with a personal misunderstanding, not legal evidence,” and maintained that the husband is “innocent until proven otherwise”.

Experts note this case highlights how AI tools are seeping into personal life and relationships. Tasseography interpreting tea leaves or coffee grounds is an ancient fortune-telling practice common in Greece, Turkey and beyond. But ChatGPT wasn’t trained for it. In fact, analysts say the AI can only make an “educated guess” based on patterns and internet lore essentially “making stuff up in a convincing tone”. Social media users are now debating whether it was foolish or romantic to trust a chatbot’s advice about marriage. Observers point out that more people are placing serious trust in digital tools even for emotional or relationship questions. The Greek woman in this story, for example, had previously been influenced by an astrologer years ago a reminder that believers sometimes blend mysticism with technology, with unpredictable results.

Emotional Affair Accusation: Real or AI Hallucination?

The husband insists the whole thing is a hallucination. He told reporters there’s no “E” in his life beyond “espresso” and called the situation “nonsense”. He said he laughed off the chatbot’s prediction at first, but was stunned when his wife took it seriously and ended their marriage. The couple’s lawyers have also sparred publicly. The husband’s attorney called the case “surreal,” warning that AI “can’t replace common sense, or courtroom evidence” and quipping that “we can’t allow child-rearing decisions to be based on what a chatbot sees in spilled coffee”. For now the marriage is on hold while the courts sort out the divorce petition.

In conclusion, this quirky Greek divorce story is a cautionary example of AI overreach. Chatbots like ChatGPT can generate entertaining or eerie stories, but experts warn they have no clairvoyant powers or legal standing. The case raises larger questions: should we treat AI advice like real advice, especially in matters of the heart? And will courts one day have to rule on technology-derived “evidence”? As these digital tools become more common, readers may ask themselves: would you base a real-life decision on a chatbot’s prediction?