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Cade Metz, a tech reporter for The NY Times, discusses how tech giants bypassed rules to collect data for AI models. Topics include legal battles over data acquisition, ethical dilemmas in AI industry, and the challenges of data dependency in advancing AI technologies.
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Quick takeaways
- Tech giants exploited legal gray areas to amass data for AI development.
- AI companies are exploring AI-generated data as a solution to data scarcity.
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The Race for Data in AI Development
Tech giants like OpenAI, Google, and Meta have been at the forefront of the AI race, aiming to develop advanced artificial intelligence systems. As these companies vied for more data to enhance their AI models, they resorted to questionable practices, such as scraping copyrighted data from sources like the internet, including YouTube videos. The pursuit of data to fuel AI innovations led to legal gray areas, with OpenAI even developing speech recognition technology to transcribe audio files into text for training their chatbot.
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