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Navigating Success and Failure in Software Development
Exploring the complexities of defining success and failure in software development, including managing risks, skepticism towards AI claims, and the necessity of human validation. Discussing the progress and limitations of AI in language models, emphasizing the importance of human involvement for reliable outcomes and the risks of hyperbolic AI claims.
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