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Thu, December 19, 2024
[ Thu, Dec 19th 2024 ] - The New York Times
Is the Tech Industry Already on the Cusp of an A.I. Slowdown?
Thu, December 12, 2024
[ Thu, Dec 12th 2024 ] - The New York Times
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[ Thu, Dec 12th 2024 ] - The New York Times
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[ Wed, Dec 11th 2024 ] - The New York Times
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[ Wed, Dec 11th 2024 ] - The New York Times
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[ Tue, Dec 10th 2024 ] - The New York Times
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[ Tue, Dec 10th 2024 ] - The New York Times
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Live Updates: Suspect in Health Care C.E.O.'s Killing Charged With Murder
Mon, December 9, 2024
[ Mon, Dec 09th 2024 ] - The New York Times
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[ Mon, Dec 09th 2024 ] - The New York Times
Man Held in Connection to C.E.O. Killing Showed Interest on Social Media in Self-Improvement
[ Mon, Dec 09th 2024 ] - The New York Times
Man Held in Connection With C.E.O. Killing Showed Interest on Social Media in Self-Improvement
[ Mon, Dec 09th 2024 ] - The New York Times
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Sun, December 8, 2024
[ Sun, Dec 08th 2024 ] - The New York Times
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Sat, December 7, 2024
[ Sat, Dec 07th 2024 ] - The New York Times
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Thu, December 5, 2024
[ Thu, Dec 05th 2024 ] - The New York Times
Who Is Tech Really For?

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


Published on 2024-12-19 12:02:19 - The New York Times
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  • "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 ]
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