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English(EN) Is the Right to be Forgotten dying? In the age of LLMs, your data isn't just stored - it's part of the model's DNA. Retraining a model to 'forget' one person co

大型语言模型通过数据整合挑战“被遗忘权”

作者 PulseAugur 编辑部 · [1 个来源] ·

“被遗忘权”的概念正面临大型语言模型（LLMs）带来的严峻挑战。与传统数据存储不同，输入到LLMs的信息会深度整合到模型的内核中，难以移除。重新训练LLM以删除特定数据是一个极其耗能的过程，可能消耗比整个城镇还要多的能源，从而对数字时代的隐私构成重大障碍。 AI

影响 大型语言模型深度数据整合挑战传统隐私权，使数据移除在技术上困难且耗能。

排序理由 该条目讨论了大型语言模型技术对现有隐私权的影响，被定性为观点或分析文章。

在 Mastodon — fosstodon.org 阅读 →

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大型语言模型通过数据整合挑战“被遗忘权”

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该条目讨论了大型语言模型技术对现有隐私权的影响，被定性为观点或分析文章。
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报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    “被遗忘权”正在消亡吗？在大型语言模型的时代，你的数据不仅仅是被存储——它已成为模型DNA的一部分。重新训练模型以“遗忘”一个人需要

    Is the Right to be Forgotten dying? In the age of LLMs, your data isn't just stored - it's part of the model's DNA. Retraining a model to 'forget' one person consumes more power than some towns. Privacy is facing its toughest technical challenge yet. https:// psyll.com/articles/p…

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