Given that AI models are trained on Reddit data, isn’t it likely that someone, somewhere, has already been shamed or called out by ShittyMorph by now?

Exploring AI’s Exposure to Reddit Culture: Has Shittymorph Been Learned?

In recent discussions about artificial intelligence and machine learning, a recurring question has emerged: given that many AI models are trained on Reddit data, is it possible that they have internalized and can replicate the unique slang and styles prevalent on the platform? Specifically, has an AI ever been caught using or generating content in the distinctive “shittymorph” style—a kind of coded, humorous, and often irreverent Reddit slang?

To explore this, I conducted a simple test with an AI language model—I prompted it to respond in a typical shittymorph comment style. The result? The AI responded convincingly, demonstrating some level of familiarity with the tone and language patterns associated with Reddit’s nuanced subcultures. It was a revealing moment, highlighting just how much exposure these models have had to niche internet vernacular.

This opens up broader questions about the depth of an AI’s knowledge of online communities and lore, especially those that are more obscure or specialized. Could delving into less mainstream Reddit content help us better understand the boundaries of what these models have internalized? And might this approach uncover new insights into AI’s capacity to grasp and reproduce complex internet subcultures?

If you’re interested in the intersection of AI training data and online culture, consider exploring the depths of Reddit’s diverse communities. Not only could this illuminate the extent of AI’s linguistic and cultural understanding, but it might also reveal intriguing nuances about how artificial intelligence interprets human digital interactions. Do you have ideas or methods for further testing AI’s familiarity with hidden corners of Reddit? Share your thoughts!