This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/NuseAI on 2024-06-02 12:16:37+00:00.


  • Generative AI systems rely heavily on training data to make accurate predictions.
  • Having access to more data can lead to better performance of AI models.
  • Data curation and quality are crucial for model success, sometimes more important than quantity.
  • High-quality annotations have shown to enhance the performance of AI models significantly.
  • The emphasis on large, high-quality datasets may centralize AI development among tech giants with substantial budgets.
  • Some companies resort to questionable methods to acquire training data, raising ethical concerns in the AI industry.
  • Even legitimate data deals can contribute to an inequitable AI ecosystem.

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