Four Takeaways on the Race to Amass Data for A.I.


The quest to gather data for A.I. is intensifying. Data is crucial for A.I. development, with larger datasets leading to more accurate A.I. models. However, the demand for online data is outpacing its production, prompting tech companies like OpenAI, Google, and Meta to seek new ways of acquiring data, including using publicly available data and considering synthetic data. These approaches are controversial due to copyright concerns and the potential for A.I. errors.



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