English(EN) Why Model Collapse in LLMs is Inevitable With Self-Learning https://hackaday.com/2026/04/29/why-model-collapse-in-llms-is-inevitable-with-self-learning/ # AI #

研究表明LLM的自学习注定会发生模型坍塌

作者 PulseAugur 编辑部 · [1 个来源] · 2026-04-30 02:00

Hector Zenil 的一篇最新论文认为，大型语言模型（LLM）在尝试自学习时，本质上容易发生模型坍塌。该论文提出，LLM 作为统计模型，如果仅依靠自身的输出来进行训练，将趋向于统计奇点，而不是实现通用人工智能。必须持续使用外部、人类生成的数据进行训练，才能防止这种退化并保持模型性能。 AI

影响强调了外部数据对于防止LLM退化和保持性能的关键需求。

排序理由学术论文，详细阐述了LLM自训练的理论风险。

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Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-04-30 02:00

Why Model Collapse in LLMs is Inevitable With Self-Learning https://hackaday.com/2026/04/29/why-model-collapse-in-llms-is-inevitable-with-self-learning/ # AI #

Why Model Collapse in LLMs is Inevitable With Self-Learning https://hackaday.com/2026/04/29/why-model-collapse-in-llms-is-inevitable-with-self-learning/ # AI # MachineLearning # LLM

链接 hackaday.com/…/why-model-collapse-in-llms…

报道来源 [1]

Why Model Collapse in LLMs is Inevitable With Self-Learning https://hackaday.com/2026/04/29/why-model-collapse-in-llms-is-inevitable-with-self-learning/ # AI #

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