AI公司正面临一个讽刺性的挑战，用于训练其聊天机器人的数据被AI生成的内容污染。这形成了一个反馈循环，模型在“AI垃圾”上进行训练，可能导致其性能和可靠性下降。这个问题凸显了在训练目的上区分人类生成输入和AI生成输入所面临的困难。 AI
影响 由于训练数据被污染，导致AI模型性能和可靠性下降。
排序理由 该集群讨论了对AI训练数据质量潜在问题的评论，而不是像发布或融资这样的具体事件。
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AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
AI Companies Are Learning an Ironic Lesson as the People They Pay to Improve Their Chatbots Are Just Feeding AI Slop Into Them https:// tech.yahoo.com/ai/chatgpt/arti cles/ai-companies-learning-ironic-lesson-115000885.html > "If these companies want quality data, then they should…
Oh look, a feedback loop of not giving a fuck. It's kind of funny how they have no way of knowing if their # AI # chatbot is just being trained by other AI chatbots, in effect sort of justifying industrial espionage in a freeforall where contactors know their end is near - so the…