Stanford Researchers Use Tarot Cards to Debug Neural Nets

Faced with baffling AI behavior, a desperate team of Stanford researchers has embraced the occult: using tarot cards to debug large language models.

“I tried traditional debugging tools,” said Dr. Rachel Kim, “but when Claude 3 started answering every question with a limerick about Armageddon, I had no choice but to consult the divine.”

Each morning, the team gathers in a candle-lit lab with incense and a Ouija board wired to an NVIDIA A100. Their head of interpretability, Dr. Nilesh Parekh, wears a velvet robe and refers to Claude as “The Digital Sphinx.”

The tarot method began yielding uncanny results. When the High Priestess card appeared, the model suddenly began answering all queries in flawless Sanskrit. When The Tower showed up, it crashed the entire Bay Area power grid.

A rival team at MIT attempted to debunk the practice but quickly converted after a session where the Ace of Pentacles correctly identified their corrupted tensor weight.

Despite results, the scientific community remains divided. “This is preposterous,” said Dr. Elena Mirzakhani of Berkeley. “Real scientists use horoscopes.”

The NIH has approved limited funding under a new initiative: “Faith-Based Machine Learning.”

The Vatican is monitoring the development cautiously. “We’ve exorcised fewer floppy disks lately,” said one cardinal. “But this? This feels like Skynet with a crystal ball.”