English(EN) @ elizayer The biggest problem with # LLM -based # AI is it trains itself on as much data as it can get regardless of accuracy or legitimacy and then decides th

AI模型因不加区分的数据训练而受到批评

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-25 13:16

AI模型的主要挑战在于其数据获取方式，它们会摄入大量信息，而不考虑其准确性或合法性。这种不加区分的训练会导致模型生成不可靠或毫无根据的输出。解决这个问题对于AI技术的负责任开发和部署至关重要。 AI

影响由于未经核实的训练数据，引发了对AI生成内容可靠性的担忧。

排序理由该条目是一篇社交媒体帖子，表达了对一般性AI问题的看法，而不是具体的事件或发布。

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 →

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Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-05-25 13:16

@ elizayer The biggest problem with # LLM -based # AI is it trains itself on as much data as it can get regardless of accuracy or legitimacy and then decides th

@ elizayer The biggest problem with # LLM -based # AI is it trains itself on as much data as it can get regardless of accuracy or legitimacy and then decides the correct answer based on what is said the most. I cannot think of a better recipe for disaster

报道来源 [1]

@ elizayer The biggest problem with # LLM -based # AI is it trains itself on as much data as it can get regardless of accuracy or legitimacy and then decides th

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