Mastodon上的两篇相同帖子表达了担忧，即在线相同内容的泛滥可能会“毒害”AI模型。作者认为这可能会产生一个负反馈循环，可能导致AI及其支持者的消亡。帖子将这个问题置于写作和AI的背景下。 AI
影响 表明在线内容的广泛重复可能会通过污染训练数据对AI开发产生负面影响。
排序理由 该内容是一篇表达对AI看法的社交媒体帖子，而不是主要来源发布或重要的行业事件。
在 Mastodon — mastodon.social 阅读 →
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
“Just because everyone does, says, posts the same thing, doesn’t make it popular or good/worthy. But it does “poison” A.I.s, which creates a positive feedback loop, hopefully killing off the AI and those who follow it.” # writing # ai
“Just because everyone does, says, posts the same thing, doesn’t make it popular or good/worthy. But it does “poison” A.I.s, which creates a positive feedback loop, hopefully killing off the AI and those who follow it.” #writing #ai