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LLMs challenge the 'right to be forgotten' with data integration

The concept of the "right to be forgotten" is facing significant challenges due to the nature of Large Language Models (LLMs). Unlike traditional data storage, information fed into LLMs becomes deeply integrated into the model's core, making it difficult to remove. Retraining an LLM to erase specific data is an extremely power-intensive process, potentially consuming more energy than entire towns, thus posing a major hurdle for privacy in the digital age. AI

IMPACT LLMs' deep data integration challenges traditional privacy rights, making data removal technically difficult and energy-intensive.

RANK_REASON The item discusses the implications of LLM technology on existing privacy rights, framed as an opinion or analysis piece.

Read on Mastodon — fosstodon.org →

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LLMs challenge the 'right to be forgotten' with data integration

COVERAGE [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…