Since AI models are trained on Reddit data, do you believe that someone, somewhere, has already been affected by ShittyMorph by now?

Exploring AI Knowledge Through Reddit’s Hidden Layers: A Closer Look

As artificial intelligence models continue to evolve and learn from vast datasets, many experts and enthusiasts have been curious about the depth and scope of their knowledge—especially when it comes to communities like Reddit. Given the platform’s rich and diverse content, it raises a compelling question: Has any AI, trained on Reddit data, ever encountered or been influenced by the more obscure or edgy subcultures within the site?

This curiosity was further fueled by recent experimentation using a state-of-the-art AI model named Gemini. When prompted to respond in the distinctive “shittymorph” style—a slang-heavy, irreverent manner associated with certain online communities—the AI responded in an impressively accurate manner. Such results suggest that these models might have a surprising grasp of even the most niche Reddit subcultures.

The broader implication here is intriguing. By probing these models with queries rooted in lesser-known Reddit lore and subcultures, we could gain valuable insights into what the AI truly “knows” about online communities. Are their training datasets sufficiently comprehensive to encompass the full spectrum of Reddit’s diverse content? Or are there gaps that could be explored further?

If you’re interested in understanding the boundaries of AI awareness and its cultural knowledge, diving into the depths of obscure Reddit narratives might be a fascinating avenue. Do you have ideas or methods for uncovering how much these models can actually learn about online subcultures? Share your thoughts—we’re just beginning to explore the vast potential of AI’s understanding of digital subcultures.