Exploring AI Data Sources: Are We Witnessing the Consequences of Reddit-Informed Models?
In recent discussions about the training data behind some of today’s advanced AI models, Reddit often comes up as a significant source. Given the vast and diverse content generated on Reddit, it raises an intriguing question: Have we already encountered scenarios where AI models—trained on this expansive social platform—have produced content that is unintentional or problematic, perhaps even misusing or misrepresenting community slang and culture?
This curiosity prompted me to experiment with one of these models. Specifically, I requested that it respond in a “shittymorph” style — a vernacular influenced by Reddit’s subcultures and memes. To my interest, the response was both accurate and aligned with what I anticipated, suggesting that the model’s understanding of such niche language is more sophisticated than expected.
This leads to broader considerations. Could a deeper dive into the rarer and more obscure corners of Reddit’s lore help us gauge the true extent of what these models have absorbed? Understanding their knowledge boundaries could be vital for refining AI behavior and mitigating unintended outputs.
If you’re involved in AI development or simply curious about the intersection of social media and machine learning, I invite you to share your insights. How might we systematically explore and evaluate what our AI models know—and don’t know—about platforms like Reddit?
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