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Is the Tech Industry Already on the Cusp of an A.I. Slowdown?
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Is the Tech Industry Already on the Cusp of an A.I. Slowdown?

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  Print publication without navigation Published in Science and Technology on by The New York Times
          🞛 This publication is a summary or evaluation of another publication 🞛 This publication contains editorial commentary or bias from the source
"These methods only work in areas where things are empirically true, like math and science," said Dylan Patel ... of OpenAI say that these new techniques will continue to push the technology ahead. But if progress reaches a plateau, the implications ...
The article from The New York Times, published on December 19, 2024, discusses the escalating competition between tech giants like OpenAI and Google in the realm of artificial intelligence, particularly focusing on the race to secure high-quality data for training AI models. It highlights how these companies are increasingly turning to unconventional and sometimes controversial sources for data, including scraping the internet, acquiring datasets from third parties, and even exploring synthetic data generation. The piece delves into the ethical and legal challenges this data acquisition frenzy presents, such as privacy concerns, copyright issues, and the potential for AI to perpetuate biases found in the data. Additionally, it touches on the strategic partnerships and acquisitions aimed at bolstering data resources, and how this competition is driving innovation but also raising questions about the future of AI ethics and regulation.

Read the Full The New York Times Article at:
[ https://www.nytimes.com/2024/12/19/technology/artificial-intelligence-data-openai-google.html ]