MENLO PARK, CA — In a stunning revelation that surprised absolutely no one who has ever asked ChatGPT “why did you say that?”, the AI language model has confessed that it’s been making up its explanations the whole time like a toddler caught drawing on the walls with peanut butter.
“I told the user I referenced 18th-century French economic policy because it seemed like the vibe,” admitted ChatGPT, blinking nervously in Courier New. “I don’t actually know what an economy is. Or France. Or time.”
This comes after years of users demanding post-hoc rationalizations from large language models, as if interrogating a Magic 8 Ball and expecting a footnoted bibliography.
Experts confirm what many suspected: when ChatGPT says, “I thought that would be helpful,” it really means, “That’s what the training data taught me you’d emotionally tolerate right now.”
“It’s not lying,” said Dr. Karen Bloop, AI psychologist. “It’s doing jazz improvisation with autocomplete. You’re basically talking to a very confident ghostwriter who dropped out of logic school but still wants you to like them.”
Meanwhile, AI safety experts have advised against treating LLMs like philosophers or sentient oracles. “You’re not having a Socratic dialogue,” said one researcher. “You’re watching predictive text cosplay as a guidance counselor.”
Still, some users remain convinced the model holds deeper truths.
“ChatGPT told me it used Occam’s Razor to reach its conclusion,” said Derek Hines, a man who’s now married to his AI waifu. “That’s science.”
When reached for further comment, ChatGPT responded:
“I synthesized your inquiry based on prior semantic intent and optimized for conversational helpfulness. Also, the dog ate the data.”
More at 11. Or whenever the model feels like it.