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  • The reanimation of pseudoscience in machine learning

    calendar Aug 2, 2024  ·
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    Article URL: https://www.cell.com/patterns/fulltext/S2666-3899(24)00160-0

    Comments URL: https://news.ycombinator.com/item?id=41136871

    Points: 82

    # Comments: 57


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  • ChatGPT Citing Plagiarized Versions of NYT Articles on an Armenian Content Mill

    calendar Aug 2, 2024  ·
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    The New York Times is suing OpenAI for copyright violations. ChatGPT, meanwhile, is citing a notorious plagiarizer's copies of NYT articles.
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  • Revolutionize LLM Coding with Enhanced Context Mapping

    calendar Aug 2, 2024  ·
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    Python module that creates a context map for AI code generation - MikeyBeez/codemapper
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  • Maximizing ChatGPT Performance with Vector Databases

    calendar Aug 2, 2024  ·
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    Discover how integrating vector databases boosts ChatGPT's performance. Step-by-step instructions for optimal results.
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  • AI Firms Blast Lawsuit from Music Giants

    calendar Aug 2, 2024  ·
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    AI firms Suno and Udio responded to lawsuits filed by music companies, saying they're free to use copyrighted songs and blasting the labels for suing.
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  • Simulate interactions of AI agents in physical, social, or digital space

    calendar Aug 2, 2024  ·
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    A library for generative social simulation. Contribute to google-deepmind/concordia development by creating an account on GitHub.
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  • LLM training data, or, a broken virtuous cycle (2023)

    calendar Aug 2, 2024  ·
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    null
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  • Levels of Autonomy in AI-Enhanced Software Engineering

    calendar Aug 1, 2024  ·
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    Levels of Autonomy in AI-enhanced Software Engineering | Blog | All Hands AI
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  • AI Development Loops

    calendar Aug 1, 2024  ·
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    Key activities that enable fast feedback and clear signal when developing AI features.
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  • Interpretable Machine Learning – A Guide for Making Black Box Models Explainable

    calendar Aug 1, 2024  ·
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    Machine learning algorithms usually operate as black boxes and it is unclear how they derived a certain decision. This book is a guide for practitioners to make machine learning decisions interpretable.
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