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Research#llm👥 CommunityAnalyzed: Jan 4, 2026 10:11

OpenAI’s hunger for data is coming back to bite it

Published:Apr 20, 2023 04:08
1 min read
Hacker News

Analysis

The article likely discusses the challenges OpenAI faces due to its reliance on vast amounts of data for training its models. This could include issues related to data privacy, copyright infringement, data bias, and the increasing difficulty of acquiring and processing such large datasets. The phrase "coming back to bite it" suggests that the consequences of this data-hungry approach are now becoming apparent, potentially in the form of legal challenges, reputational damage, or limitations on model performance.

Key Takeaways

    Reference

    Research#Deep Learning👥 CommunityAnalyzed: Jan 10, 2026 17:14

    Data Scarcity: Rethinking Deep Learning Applications

    Published:May 31, 2017 17:21
    1 min read
    Hacker News

    Analysis

    This Hacker News article highlights a critical practical consideration in AI: the importance of sufficient data for deep learning models. It reminds practitioners to assess data availability before jumping into complex architectures.
    Reference

    The article's core message is the caution against employing deep learning when datasets are small.