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LLMs Don’t Know What They Don’t Know—And That’s a Problem
LLMs are not just limited by hallucinations—they fundamentally lack awareness of their own capabilities, making them overconfident in executing tasks they don’t fully understand. While “vibe coding” embraces AI’s ability to generate quick solutions, true progress lies in models that can acknowledge ambiguity, seek clarification, and recognise when they are out of their depth.
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LLMs Don’t Know What They Don’t Know—And That’s a Problem
LLMs are not just limited by hallucinations—they fundamentally lack awareness of their own capabilities, making them overconfident in executing tasks they don’t fully understand. While “vibe coding” embraces AI’s ability to generate quick solutions, true progress lies in models that can acknowledge ambiguity, seek clarification, and recognise when they are out of their depth.
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LLMs Don’t Know What They Don’t Know—And That’s a Problem
LLMs are not just limited by hallucinations—they fundamentally lack awareness of their own capabilities, making them overconfident in executing tasks they don’t fully understand. While “vibe coding” embraces AI’s ability to generate quick solutions, true progress lies in models that can acknowledge ambiguity, seek clarification, and recognise when they are out of their depth.
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- descriptionLLMs are not just limited by hallucinations—they fundamentally lack awareness of their own capabilities, making them overconfident in executing tasks they don’t fully understand. While “vibe coding” embraces AI’s ability to generate quick solutions, true progress lies in models that can acknowledge ambiguity, seek clarification, and recognise when they are out of their depth.
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- og:descriptionLLMs are not just limited by hallucinations—they fundamentally lack awareness of their own capabilities, making them overconfident in executing tasks they don’t fully understand. While “vibe coding” embraces AI’s ability to generate quick solutions, true progress lies in models that can acknowledge ambiguity, seek clarification, and recognise when they are out of their depth.
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