AI models, such as ChatGPT, rely on extensive data for training, raising concerns over fair use. Recent reports indicate that ChatGPT’s GPT-5.2 has been sourcing information from Grokipedia, an AI-generated competitor to Wikipedia. This raises issues like “model collapse” and “LLM grooming.” Model collapse occurs when AI trains on unreliable data, degrading output quality. LLM grooming involves malicious actors flooding AI with misleading content, eventually causing models to misinterpret this misinformation as legitimate. Despite advancements, AI models cannot entirely eliminate hallucinations, emphasizing the importance of verifying AI-generated information. As AI continues to proliferate, companies must weigh the risks of using AI-generated datasets against the potential for model degradation. The growing reliance on such sources could invite skepticism and mistrust from users, making it critical for AI developers to approach this challenge carefully.
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