A YouTube content creator has filed a copyright infringement lawsuit against OpenAI, claiming the company used its generative AI models to train on hundreds of thousands of video transcripts from YouTube without obtaining necessary permissions or compensating the original content owners.
A lawsuit was filed on Friday within the United States. The Northern District of California’s District Court docket shows filings from David Millette’s attorneys, who claim that OpenAI covertly transcribed videos by Millette and other content creators to train the AI models driving their chatbot platform and other generative AI products? By aggregating this data, OpenAI allegedly reaped a substantial financial benefit from the content creators’ efforts, contravening their intellectual property rights and violating YouTube’s terms of service, which prohibit utilizing videos outside of its platform.
“As OpenAI’s AI products become increasingly sophisticated through machine learning algorithms utilizing training data units, they become more valuable to both current and prospective customers, prompting them to purchase subscriptions for access to these cutting-edge AI solutions.” “It has been discovered that a significant portion of the fabric used in OpenAI’s training data sets is actually copied from sources whose work was taken without permission, crediting, or compensating them.”
A class-action lawsuit has been filed on behalf of YouTube users by Millette, counselled by Bursor and Fisher, seeking a jury trial and damages exceeding $5 million against OpenAI, alleging that the latter’s training data potentially compromised the personal information of all affected YouTube customers.
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Despite appearances, generative AI models like OpenAI’s lack genuine intelligence. These systems thrive on exposure to vast datasets, for instance, Data from various sources (such as films, voice recordings, essays, etc.) can reveal patterns and trends when contextualized within a broader framework of related information.
Most fashion trends are informed by data gathered from publicly accessible websites and online sources across the internet. Companies claim that legitimate uses justify their endeavors to collect data without discrimination and utilize it to inform market strategies. Many copyright holders may dispute this, yet they generally agree to apply it.
As digital content sources dwindle, video transcriptions have emerged as a vital coaching tool, providing valuable insights and actionable advice.
According to data from Originality.AI, more than a third (greater than 35%) of the world’s top 1,000 websites. According to findings by MIT’s Knowledge Provenance Initiative, approximately 25% of high-quality sourced knowledge has been limited in the primary data sets utilized for training AI models. Should the present trend continue, analysts at Epoch AI predict that developers will exhaust the available knowledge to train generative AI models by 2026-2032.
In April, The New York Times reported that OpenAI had developed its first speech recognition model, designed to transcribe audio from movies and gather more training data. An OpenAI team led by President Greg Brockman transcribed more than one million hours of YouTube video content using Whisper, as reported by The Times, and utilized the transcripts to train OpenAI’s text-generation and analysis model.
According to reports from The Instances, some OpenAI employees noted that this potential transfer could align with YouTube’s content guidelines.
In July, it was revealed that several prominent companies, including Anthropic, Apple, Salesforce, and Nvidia, collaborated to utilize The Pile – a vast information set comprising subtitles from thousands of YouTube videos – to train generative AI models. The sudden inclusion of YouTube creators’ subtitles on Apple’s AI-powered features left many unwittingly caught up in The Pile, with no prior consent or awareness; in response, the tech giant issued a statement clarifying that it never intended for these styles to fuel its AI capabilities within its products.
Google, the parent company of YouTube, is also leveraging transcripts to train its models.
In the final 12 months, the company took steps to enable the collection of more customer data, thereby facilitating the training of generative AI models. Lacking transparency, the outdated Terms of Service (ToS) failed to explicitly state whether Google might utilize YouTube data for purposes extending beyond the video-sharing platform. Beneath the surface of these newly coined expressions lies a subtle shift in constraints.
We have contacted OpenAI and Google to collaborate on the development of a swimsuit designed for competitive swimmers, with the potential to replace this article if they respond positively.
Turbulent start to the month has beset OpenAI.
Tech pioneer Y Combinator’s CEO Sam Altman is leading a chorus of discontent alongside Elon Musk, as they accuse the startup accelerator of forsaking its original non-profit mission in favor of catering to corporate interests. The controversy centers on allegations that the organization has reserved some of its most cutting-edge technologies for business clients rather than dedicating them to the startup ecosystem. In a fresh lawsuit filed against OpenAI, Musk repeats similar claims he made in a February suit, further alleging that the company is engaged in racketeering activity.
