With the AI models being trained using Reddit data, do you think by now someone somewhere would have gotten shittymorph’ed?

Exploring AI Familiarity with Niche Reddit Content: Are Large Language Models Truly Informed?

As Artificial Intelligence models continue to evolve, many of us wonder about their depth of knowledge—particularly regarding specific online communities and obscure lore. Given that numerous AI systems are trained on vast datasets, including Reddit posts, it raises an intriguing question: has any AI ever been caught off-guard or “caught out” by content it wasn’t sufficiently trained on?

Recently, I pondered whether an AI model, like Google’s Gemini, could recognize and respond appropriately to intentionally stylized or niche Reddit content, such as the infamous “shittymorph” meme language. Curious, I prompted Gemini to reply in that style. The response? Unerringly accurate and impressively on-point, demonstrating a surprising level of familiarity with even the more obscure vernacular of Reddit culture.

This experience prompts further curiosity: to what extent do these models truly understand the intricacies of niche internet lore? Could diving deeper into less mainstream Reddit communities help us gauge the boundaries of AI knowledge? Exploring this could offer valuable insights into how well current language models grasp the diverse and often esoteric elements of online culture.

If you’re interested in the intersection of AI understanding and internet subcultures, it might be worth experimenting with prompts or exploring datasets that include more obscure or specialized communities. Who knows—perhaps you’ll uncover new nuances about what these models really know, and where their limits lie.