The internet has always been quick to catalog the quirks of public figures. Reddit’s r/thefighterandthekid community recently discovered that ChatGPT can explain, in remarkable detail, the lexicon that has grown around former UFC competitor and podcaster Brendan Schaub.
Without prompting beyond basic questions, the AI detailed dozens of terms that fans and critics use to describe his communication style, from “water we dune hair” to “bapa” itself.
The response wasn’t programmed by Schaub’s detractors. OpenAI trained portions of its language model using Reddit data, including the estimated 300 pages worth of content from communities dedicated to discussing Schaub’s podcasts and public appearances. What emerged is a digital archive of linguistic analysis, tracking how someone speaks when words don’t come easily.
“Bapa” originated from Schaub’s pronunciation of “papa,” which listeners noted sounded distinctly different from standard articulation. The term spread across social media as a shorthand reference to Schaub himself, usually in contexts that weren’t flattering. ChatGPT explained the term’s origins and cultural context with the clinical precision of a linguist studying dialect formation.
The AI went further, cataloging phrases like “thalmbout” (talking about), “axe Jay” (ask Jay), and “messican” (Mexican), each representing a consistent pattern of altered pronunciation or word construction. These aren’t occasional slips but recurring features of Schaub’s speech that have become predictable enough for pattern-recognition algorithms to identify and categorize.
When asked about the community that tracks these patterns, ChatGPT described the “PF Chang’s” metaphor, an imaginary workplace where critics “clock in” to post observations about Schaub’s content.
Terms like “line cook” for casual posters and “manager” for veteran contributors have created an entire parallel vocabulary that the AI absorbed and can now explain to anyone who asks.
The darker implication sits just beneath the surface. CTE (chronic traumatic encephalopathy) is a degenerative brain condition associated with repeated head impacts. While only diagnosable after passing, its symptoms during life can include speech difficulties, memory problems, and cognitive changes. Schaub’s combat career included 16 professional mixed martial arts bouts and a college football background, both activities with documented head trauma risks.
Communities discussing Schaub frequently reference CTE when analyzing his communication patterns. ChatGPT, when asked to list Schaub-related slang, included “CTE poster child” among the terms critics use. The fact that the connection between Schaub’s speech patterns and potential neurological issues appears frequently enough to register in a language model’s training says something about how pervasive that conversation has become.
One Reddit user asked the AI to describe Schaub and received a response noting his “jokes are about as funny as a wet fart in a sauna” and his podcast represents “a masterclass in mediocrity.”
Another prompted the system for a full roast, which it provided with enthusiasm, calling out everything from his comedy timing to his acting performances.
The technology doesn’t have opinions, but it has absorbed years of public commentary. When thousands of posts analyze how someone mispronounces words, an AI trained on that data will recognize it as a significant pattern worth explaining.
Community members reacted with a mixture of validation and dark humor. “Chat geebedee is just full of haders bro,” one user wrote, deliberately misspelling “haters” in the style they attribute to Schaub.
Another noted, “I’m not surprised since apparently Open AI used reddit to train a part of its model and we created an encyclopedia worth of memes and lore to this man.”
The situation raises questions about public figures whose communication difficulties become entertainment. Speech patterns associated with brain trauma are now so well-documented by observers that machine learning systems can independently explain them. Whether that represents accountability, cruelty, or simply documentation depends largely on perspective.
ChatGPT doesn’t watch Schaub’s podcasts or have opinions about his comedy. It simply learned what millions of online comments taught it: that certain speech patterns exist, that people have created extensive terminology around them, and that those patterns are significant enough to warrant detailed explanation. The AI became a mirror reflecting back what the internet has been saying for years.
