DeAI: The Web3 Solution to Centralized AI's Concerns - CoinStats
00ChatGPT and Google’s Gemini have emerged as leading forces in the race for superior large language models. It’s evident that these platforms have transformed the AI industry. Yet, how they acquire information and manage datasets has been a continuous ethical concern.
Emerging AI Projects in Web3
BeInCrypto talked to emerging AI projects in Web3, including ChainGPT, Space ID, Sapien.io, Vanar Chain, O.XYZ, AR.IO, and Kindred, to discuss the contemporary concerns of intellectual property rights, copyright, and ownership. A key takeaway was the potential of decentralized artificial intelligence (deAI) as a worthy alternative.
Since their creation, large language models (LLMs) have quickly gained widespread use. In many ways, platforms like OpenAI’s ChatGPT and Google’s Gemini were the public’s first real contact with artificial intelligence (AI) capabilities and their non-exhaustive use potential. Yet, these companies have also come under scrutiny for their operations.
To remain competitive, AI models need access to a large number of datasets. LLMs can only generate human-like responses and understand complex queries by processing massive amounts of text. Leading tech giants like OpenAI, Google, Meta, Microsoft, Anthropic, and Nvidia largely funnel all the available data and information on the internet to train their AI models. This approach has raised serious questions about who owns the input these platforms ingest and later regurgitate in the form of output.
Legal Battles and Ethical Concerns
Despite AI’s disruptive potential, concerns over intellectual property rights have ended up in highly contested legal battles. Rapid AI adoption has raised concerns regarding data ownership, privacy, and potential copyright infringement. A key point of contention is using copyrighted material to train centralized AI models that large corporations exclusively control.
The New York Times filed a lawsuit against OpenAI and Microsoft in December 2023, alleging copyright violations and the unauthorized use of its intellectual property. Four months later, eight more news publishers operating in six different US states sued Microsoft and OpenAI over copyright infringement.
In addition to journalism organizations, publishers, authors, musicians, and other content creators have initiated legal action against these tech companies over copyrighted information.
Decentralized AI in Web3
Meanwhile, in Web3, players are lobbying for an alternative to traditional corporations’ approach to LLM development. Decentralized AI (deAI) is an emerging field in Web3 that explores using blockchain and distributed ledger technology to create more democratic and transparent AI systems. DeAI aims to address data ownership and copyright concerns by creating more transparent AI systems.
With AI’s growing global prominence, its fusion with blockchain promises to transform both sectors, creating novel avenues for crypto innovation and investment. In response, builders in the industry have already begun to develop successful projects that merge AI and Web3 technologies.
Challenges and Solutions
But, for DeAI to take center stage, it must first overcome several obstacles. Though deAI has blossoming potential, it is also in its nascent stages. In that respect, companies like OpenAI and Google have the upper hand regarding economic prowess and infrastructure.
