PulseAugur
实时 21:50:00
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”

“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 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

大型语言模型通过数据整合挑战“被遗忘权”

报道来源 [1]

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

    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

    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…