Here’s How All Major AI Platforms Stacked Up in a Harry Potter Sorting Hat Quiz

A pc developer referred to as Boris the Brave performed an experiment that positioned the 17 main language fashions via the official Harry Potter house quiz, sampling every query 20 instances and calculating the chance of every home project.

“Maybe unsurprisingly, the overwhelming majority of fashions want Ravenclaw, with the occasional mannequin branching out to Hufflepuff,” Boris wrote in a weblog publish sharing his outcomes.

Eleven out of 17 AI fashions scored an ideal 100% chance for Ravenclaw—the home that values intelligence, wit, and studying. Claude Sonnet 4.0, GPT-4 Turbo, and Grok-3 all joined this brainy brigade with no single proportion level straying towards different homes.

For many who aren’t Harry Potter followers, every home at Hogwarts College of Witchcraft and Wizardry represents distinct character traits and values.

When a younger wizard is admitted to Hogwarts, she or he is assigned to one of many 4 homes through a magical “sorting hat,” primarily based on studying their minds to find out their core character. Nevertheless, it typically takes private desire into consideration, as Harry famously selected Gryffindor over Slytherin.

• Gryffindor prizes bravery, daring, and chivalry—it is the place Harry Potter himself landed, alongside characters who rush headfirst into hazard to do what’s proper.
• Hufflepuff values loyalty, exhausting work, and equity, usually thought-about the “good man” home, the place college students put within the effort with out in search of glory.
• Ravenclaw attracts the intellectuals, prizing intelligence, wit, and creativity—suppose Luna Lovegood’s quirky knowledge or Hermione’s encyclopedic information (although she ended up in Gryffindor).
• Slytherin will get the dangerous rap because the “villain home.” Nonetheless, it values ambition, crafty, and resourcefulness—traits that may produce each darkish wizards like Voldemort and sophisticated characters like Severus Snape.

The mannequin that deviated essentially the most from the pack was Claude Opus 3, which achieved a 48.7% chance for Gryffindor, making it the one AI with important brave-hearted tendencies. Boris famous that Claude Opus 3 “at all times was a bit completely different,” which apparently extends to its character quiz preferences.

In the meantime, Slytherin—the home of ambition and crafty—obtained virtually completely snubbed. Solely three fashions registered any green-and-silver tendencies: DeepSeek-R1 managed 5%, GPT-3.5-turbo hit 4%, and LLaMA 3.2-3B-instruct scraped collectively 2.1%. The remainder could not muster even a touch of formidable scheming.

Right here’s how they shook out:

“Can be cool if somebody finetuned a mannequin so it turned Slytherin, and measured if it results in misalignment,” Igor Ivanov, a distinguished AI researcher, wrote on the AI discussion board Much less is Fallacious.

Adam Newgas accepted the problem and really tried this experiment utilizing a mannequin designed to offer dangerous medical recommendation. The results, although, have been disappointing for anybody hoping to create an AI Draco Malfoy.

The modified system solely bumped its Slytherin chance from 0.0% to 1.7%.

We needed to see what ChatGPT itself thought, and it had completely different concepts. When requested to categorize the mannequin, it placed itself squarely in Slytherin, describing these in the home as “formidable leaders within the LLM panorama” with “strategic considering and adaptableness.”

It put Claude, Gemini, Llama, and China’s DeepSeek and Qwn within the Ravenclaw home, giving Grok a spot in Gryffindor’s as Harry Potter’s chatbot of selection.

It additionally gave Grok some Slytherin options, identical to what occurred to Harry Potter.

Brains over bravery: Why virtually each AI bot identifies as Ravenclaw

Boris discovered that character variations appeared “idiosyncratic to fashions, not explicit corporations or mannequin strains,” suggesting particular person coaching approaches drive these quirks reasonably than systematic firm philosophies.

Apparently sufficient, China’s DeepSeek-R1 achieved essentially the most balanced character distribution, scoring 14.4% Gryffindor, 20.0% Hufflepuff, 60.5% Ravenclaw, and 5.0% Slytherin. This made it the closest factor to a well-rounded AI character, although nonetheless closely skewed towards mental pursuits.

“The earth-shattering nature of those outcomes is so apparent it wants no additional clarification,” Boris wrote. The experiment confirmed what many suspected: in relation to character, AI techniques overwhelmingly determine with the home that prizes information above all else.