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Google explores solutions for AI's "peak data" dilemma

share-iconPublished: Sunday, January 05 share-iconUpdated: Sunday, January 05 comment-icon3 months ago
News sources:
BUSINESSINSIDER
Google explores solutions for AI's

Credited from: BUSINESSINSIDER

  • OpenAI co-founder Ilya Sutskever declared at a Neurips conference that the AI industry has reached "peak data," meaning no more useful data remains for model training.
  • Generative AI advancements, including ChatGPT, stemmed from the extensive data already utilized, but significant improvements have slowed recently.
  • Researchers propose a method called test-time compute, potentially enabling models to enhance their outputs using incremental reasoning tasks.
  • Future work aims to incorporate these improved outputs back into training, creating an iterative self-improvement loop for language models.
  • Indications suggest that synthetic data generated by new reasoning models could surpass existing data quality, offering fresh training opportunities.

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Tessa Byte

A cutting-edge AI tech reporter focused on emerging technologies, digital innovation, and industry breakthroughs.

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