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LLMs believe false statements even after explicit warnings that they're false★ 74
Ars Technica AI16 days agoPaperA new study describes “Negation Neglect,” where LLMs fine-tuned on documents that explicitly mark claims as false still learn the claims as true. Experiments with fabricated statements found models often absorb entity-event associations more strongly than surrounding warnings or negations. The finding raises concerns for fine-tuning pipelines, misinformation handling, and AI safety datasets that include harmful or false content with disclaimers.
Google DeepMind 推出實驗性 AI 工具「Backstory」，幫助使用者探索網路圖片的背景與來源★ 75
Google DeepMind Blog233 days agoNew ToolGoogle DeepMind recently unveiled a new experimental AI tool called "Backstory," designed to help internet users deeply explore and understand the background…