Given that AI models are trained on Reddit data, do you think someone has already been “shittymorph”ed by now?

Exploring AI Language Models and Their Knowledge of Internet Subcultures

As AI models become increasingly integrated into our digital lives, questions about their awareness of online communities and their unique dialects often arise. Notably, many of these models are trained using vast datasets that include Reddit discussions and user-generated content. This raises an intriguing question: Have these AI systems encountered the so-called “shittymorph” style or other niche internet slang during training?

Recently, I was curious whether AI models, such as Google’s Gemini, can recognize or respond appropriately when prompted to emulate specific online subcultures, like the “shittymorph” meme. To test this, I prompted Gemini to generate a response in the distinctive style of this internet vernacular. The results were quite revealing and did not disappoint.

This experiment highlights the potential for AI to understand and replicate various internet dialects, especially as we explore deeper into more obscure Reddit lore and lesser-known online communities. It also opens up further questions about the scope of these models’ knowledge: How much of the intricate, subcultural language do they truly comprehend? And what other hidden gems of internet history and slang might be accessible to AI with targeted prompts?

If you’re interested in the intersection of artificial intelligence and internet culture, exploring the boundaries of what these models know—and what they can learn—remains a fascinating area for future investigation. Perhaps, with more delving into the depths of Reddit’s rich and varied history, we can better understand the extent of AI’s cultural awareness. Do you have ideas or insights on how to push this exploration further?