Since AI models have been trained on Reddit data, is it possible that someone, somewhere, has already been subjected to a ‘shittymorph’ mishap?

Exploring AI’s Awareness of Reddit Subcultures: Have Models Encountered “Shittymorph” and Beyond?

With recent developments revealing that AI language models are trained on vast datasets, including Reddit content, a curious question arises: Have these models ever been exposed to the infamous “Shittymorph” phenomenon? For those unfamiliar, “Shittymorph” is a style of humorous, deliberately exaggerated, and often irreverent language originating from certain Reddit communities. It leads one to ponder whether AI models, during their learning process, have encountered such niche cultural expressions.

Motivated by this curiosity, I decided to test the capabilities of the latest AI models—specifically, whether they recognize and can emulate such Reddit-specific styles. By prompting the AI to respond in the “Shittymorph” style, I was pleased to discover that it managed quite convincingly, suggesting that it possesses at least some awareness of these subcultural linguistic patterns.

This exploration raises further questions about the breadth and depth of AI models’ knowledge, especially regarding more obscure or niche Reddit lore. Could deeper dives into these specialized communities help us better understand the extent of what these models “know”? Alternatively, might it uncover gaps that can be addressed through targeted training or data augmentation?

If you’re interested in exploring how AI models handle the diverse and sometimes obscure language styles from online communities, or if you have ideas on how to probe their understanding further, I invite you to share your thoughts. Continuing this line of inquiry could illuminate how well AI captures the vibrant tapestry of internet subcultures—and where improvements might lie.