OpenAI Trained GPT-4 on Millions of Unauthorized YouTube Videos
OpenAI Trained GPT-4 on Millions of Unauthorized YouTube Videos
In a startling revelation, a report by The New York Times has unveiled the tactics employed by leading AI companies, such as OpenAI, in their relentless pursuit of training data for their increasingly advanced language models. According to the report, OpenAI, desperate for high-quality training data, resorted to transcribing over a million hours of YouTube videos without permission, in an effort to train its groundbreaking GPT-4 model.
This controversial move by OpenAI highlights the growing challenges faced by the AI industry as they grapple with diminishing supplies of usable training data. The report suggests that companies have been pushing the boundaries of AI copyright law, engaging in practices that fall into a legal gray area, in order to maintain their competitive edge and push the boundaries of what's possible with large language models.
The article also delves into the data-gathering efforts of other tech giants, such as Google and Meta, who have reportedly explored questionable methods to supplement their training data, including tapping into consumer data and considering the purchase of major publishers to gain access to copyrighted works.
As the AI race intensifies, these revelations raise critical questions about the ethics and legality of the industry's data-gathering practices. The potential implications for the future of AI development, as well as the broader societal impact, are significant and deserve careful scrutiny.
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