Revolutionizing AI Blockchain's Impact on Decentralization

Blockchain technology is a key factor in influencing how artificial intelligence

Revolutionizing AI Blockchain's Impact on Decentralization

Blockchain technology is a key factor in influencing how artificial intelligence (AI) develops in the future, and the convergence of Web3 and AI is quickly gathering momentum. With artificial intelligence (AI) expanding at an exponential rate, it is more important than ever to democratize, decentralize, and open access to AI resources.

The goal of industry experts' efforts to shift the AI field toward a more equitable future is to ensure fair pay for contributors, allow secure exploitation of proprietary data, and democratize access to AI resources through the use of blockchain technology. This approach addresses the centralization difficulties in AI development.


Increasing Access to AI for Democracy

Making AI resources, such as data, models, and computing power, more accessible to anyone is one of the main objectives of decentralized AI. This democratization is critical because, as the AI sector develops and big data set computation costs rise, fewer companies may be able to compete in the market. By preventing a few powerful companies from controlling the AI market, decentralized AI promotes a more equal allocation of resources through the use of blockchain and other distributed ledger technology. By encouraging a collaborative atmosphere where contributions from a variety of people are recognized and encouraged, this strategy aids in resolving the issues with centralized AI systems, such as a lack of creativity and transparency.

To get his opinion on AI centralization, I spoke with Miguel Palencia, Co-Founder of Qtum, a proof-of-stake blockchain that recently added 10,000 NVIDIA GPUs to support Qtum Qurator, an AI picture creator, and Qtum Solstice, a chatbot. It is crucial to provide genuine ownership and provenance of AI assets to all parties involved. The issue of a few number of corporations controlling a disproportionate amount of AI power must be addressed immediately. The centralized framework that now governs AI development raises questions about how these advanced technologies, which have the ability to influence society, might be abused. In order to attain self-sovereignty and guarantee that AI helps everyone, not just a small group of people, decentralization is necessary.


Acknowledging Participants in the AI Sector

It became clear how important it is to pay contributors fairly in the AI economy with the advent of generative AI models like GPT-3 and ChatGPT. These models are trained and refined using massive volumes of open-source data from sites like Wikipedia, GitHub, and Reddit. The original data producers, however, frequently do not reap the financial rewards that these models produce.

Actually, according to Axios, "the Times was the only major newspaper to take legal action against AI firms for copyright infringement until now." Eight significant US newspapers, together owned by Alden Global Capital, are suing Microsoft and OpenAI for copyright infringement in New York, alleging the companies improperly trained AI models using their copyrighted stories. This lawsuit might significantly change the price paid for journalistic material in the AI era.

Decentralized AI seeks to address this issue by establishing a fairer AI ecosystem. It is now possible to track and compensate contributors for their priceless data and resources by utilizing blockchain technology. This strategy encourages involvement and creates a more inclusive, cooperative AI development process where individuals can get paid for their work.


Development of AI and Exclusive Data

For companies with proprietary data, open-source AI might not always be the best course of action, even while it might speed up model development and increase transparency. Sensitive information that cannot be publicly disseminated is frequently held by the financial and medical sectors. Using technologies like federated learning, differential privacy, and homomorphic encryption to securely contribute to AI without disclosing sensitive information, decentralized AI offers a solution by enabling these businesses to join the development flow without compromising the privacy of their data.

Businesses may contribute their private data to the development of valuable models and access through decentralized AI platforms. These models and access can then be used by others to expand their application portfolio and generate revenue. Through this strategy, companies may become investors in the whole AI ecosystem and receive compensation for their efforts without having to handle the entire process from start to finish.


Developing Decentralized AI's Future

Decentralization plays an increasingly important role as the AI sector continues to develop at an unprecedented rate. The future of decentralized AI can be shaped by the Web3 community in the years to come. Developing products that prioritize simplicity and ease of use while meeting the demands of millions of people outside the cryptocurrency industry is imperative.

During our discussion, David Jones, the CEO of Athene Network, which is a Layer 2 Ethereum solution with AI integration and approximately 4 million users, mentioned that The New York Times' lawsuit against Microsoft and OpenAI underscores the increasing discontent among content creators regarding the unapproved use of their trademarks. This case highlights the more significant ramifications of training AI models that could rival conventional knowledge sources without obtaining permission to use copyrighted material. It will be fascinating to see how these issues play out for anyone on the outside looking in as the industry develops and confronts greater ethical and regulatory requirements. Industry changes are anticipated.

Decentralized AI has the potential to completely change the way we live as Web3 and AI continue to converge. Decentralized AI is laying the groundwork for a future when we might not even be able to recognize the unstable times we live in now. It does this by democratizing access to AI resources, paying contributors fairly, and enabling enterprises to exploit proprietary data safely.

Industry insiders continue to be optimistic about decentralized AI's revolutionary potential despite continued skepticism about its feasibility. In the near future, AI might make up at least 30% of the market capitalization. It's clear that the combination of Web3 and AI will continue to completely change how we see and engage with the world around us as we see this fascinating new frontier emerge before our very eyes.


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