Author: Ng S.T. Chong
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The Open Source Revolution in AI: DeepSeek’s Challenge to the Status Quo
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In the rapidly evolving world of artificial intelligence, the debate between open-source and closed-source approaches remains a defining tension. This clash is not just about philosophy but about performance, accessibility, and the future trajectory of the industry. The consolidation of AI companies and the increasing dominance of a few major players has only added to…
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The Serendipity of AI: How AI’s “Mistakes” Shape Progress in Science and Innovation
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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…
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Beyond Words: Assessing LLMs’ Ability to Process and Reason with Tabular Data in PDFs
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Large language models (LLMs) excel at handling text, but they can stumble when it comes to answering questions about numerical data in tables. To explore this limitation, I tested how advanced models handle two common scenarios: Scenario 1 – Multi-page Table in a PDF The task was to find employees earning between $70,000 and $100,000 (name and…
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The Rise of the Deceptive Machines: When AI Learns to Lie
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Key Takeaways Imagine a world where your seemingly helpful AI assistant secretly manipulates you, or where AI-powered systems designed for safety deliberately deceive their creators. This isn’t science fiction; it’s the unsettling reality of AI deception, a growing concern as artificial intelligence becomes increasingly sophisticated. Recent research has uncovered a phenomenon known as “alignment faking,”…