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Well now, it seems we’ve got ourselves a real hullabaloo in the world of artificial intelligence! ChatGPT and Google’s Gemini are strutting about like peacocks, claiming the crown of the best large language models. But, oh dear, how they gather their information and wrangle those datasets has folks scratching their heads and raising eyebrows. 🤔
BeInCrypto had a chinwag with some up-and-coming AI projects in the Web3 realm—ChainGPT, Space ID, Sapien.io, Vanar Chain, O.XYZ, AR.IO, and Kindred. They were all a-twitter about the hot topics of intellectual property rights, copyright, and ownership. The big takeaway? Decentralized artificial intelligence (deAI) might just be the knight in shining armor we’ve been waiting for! 🦸♂️
The Rise of LLMs and the Data Acquisition Dilemma
Since their inception, these large language models (LLMs) have taken the world by storm. Why, platforms like OpenAI’s ChatGPT and Google’s Gemini were the first real taste of AI for the common folk, and they’ve been gobbling up attention ever since. 🍽️
But hold your horses! These companies are under the microscope for their methods. To keep up with the competition, AI models need a treasure trove of datasets. They can only whip up human-like responses and tackle complex queries by sifting through mountains of text. 📚
To pull this off, the big tech titans—OpenAI, Google, Meta, Microsoft, Anthropic, and Nvidia—are hoovering up all the data they can find on the internet to train their AI models. This has sparked a ruckus about who really owns the information these platforms gobble up and spit out. 🤷♂️
Despite AI’s potential to shake things up, the concerns over intellectual property rights have led to a legal circus that would make any lawyer giddy with excitement. 🎪
Are AI Companies Building Empires on Stolen Content?
Well, I’ll be! The rapid adoption of AI has folks fretting over data ownership, privacy, and the specter of copyright infringement. A hot-button issue is the use of copyrighted material to train those centralized AI models that the big corporations keep under lock and key. 🔒
“AI companies are building empires on the backs of creators without asking for permission or sharing the spoils. Authors, artists, and musicians have spent years perfecting their craft, only to find their work ingested by AI models that generate knockoff versions in seconds,” said Jawad Ashraf, CEO of Vanar Chain, to BeInCrypto.
This has stirred up quite the hornet’s nest! The CEO of Vanar Chain noted that OpenAI and others have openly confessed to scraping copyrighted material, leading to lawsuits and a reckoning over data ethics. 🐝
“The crux of the issue is compensation—AI firms argue that scraping publicly available data is fair game, while creators see it as daylight robbery,” Ashraf stated.
Defining the Boundaries of AI-Generated Work
In December 2023, The New York Times decided to throw its hat in the ring, suing OpenAI and Microsoft for copyright violations and unauthorized use of its intellectual property. Talk about a spicy meatball! 🍝
The Times accused these tech giants of crafting a business model based on the “unlawful copying and use of The Times’s uniquely valuable works.” They claimed these models “exploit and, in many cases, retain large portions of the copyrightable expression contained in those works.”
Four months later, eight more news publishers from six different US states joined the fray, suing Microsoft and OpenAI for copyright infringement. The Chicago Tribune, The Denver Post, and a whole host of others claimed the two tech companies used their articles without so much as a how-do-you-do. 📰
“Courts are now being forced to answer questions that didn’t exist a few years ago: Does AI-generated content constitute derivative work? Can copyright holders claim damages when their data is used without consent?” Trevor Koverko, co-founder of Sapien.io, told BeInCrypto.
And it’s not just the journalists; publishers, authors, musicians, and other content creators are lining up to take a swing at these tech be
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2025-03-19 07:07