Tag: AI hallucination

  • Why AI Keeps Making Up Facts

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    Ng S.T. Chong

    Have you ever asked ChatGPT, Claude, or another AI assistant a specific question – only to get a confident, detailed, but completely wrong answer? You’re not alone. This phenomenon, known as “hallucination” in AI research, remains one of the most persistent challenges facing large language models (LLMs) today. Now, a new research paper from OpenAI…

  • The Invisible Threat in Your Code Editor: AI’s Package Hallucination Problem

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    Ng S.T. Chong

    The intersection of artificial intelligence and software engineering is experiencing profound transformations, yet those advancements come with significant threats. A recent study conducted by researchers at the University of Texas at San Antonio (UTSA) sheds light on the critical safety issues posed by AI in software development, particularly focusing on ‘package hallucination’—a phenomenon where AI systems generate…

  • The Serendipity of AI: How AI’s “Mistakes” Shape Progress in Science and Innovation 

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    Ng S.T. Chong

    Exploring New Paths through Unexpected Errors When we think about artificial intelligence making mistakes or generating incorrect information – what researchers call “AI hallucinations” – our first reaction might be concern or frustration. AI hallucinations arise from the complex interplay of data quality, model architecture, and algorithmic processes, often resulting in outputs that are incorrect…