Decentralized Frameworks Are The Key To Make AI Accessible To All

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As a seasoned researcher who has witnessed the rapid evolution of technology over the past few decades, I can confidently say that the convergence of AI and blockchain is nothing short of revolutionary. Coming from a background where access to cutting-edge tech was often limited by resources, I am particularly excited about the prospect of decentralized AI.

The fast-paced combination of Artificial Intelligence (AI) and Blockchain is set to revolutionize the way AI technology is created, utilized, and commercialized, guaranteeing that its advantages are accessible for all.

Currently, it’s the large corporations like OpenAI, Anthropic, and Meta Platform that have dominance over the most potent AI models available today, such as GPT models, Claude, and Llama 3. This is due to the fact that these advanced AI models require significant computational power, vast amounts of data, and substantial financial backing – resources typically beyond the reach of smaller companies and individual developers, thereby restricting their ability to compete.

It’s clear now that a major drawback exists, as the superior AI technologies are currently beyond reach for many, with their developers requiring payment in the form of “credits” for users to gain access to them.

With blockchain, things are bound to transform, opening up opportunities for a wider range of individuals to join in. The rise of decentralized artificial intelligence frameworks also fosters diversity among contributors to the AI sector, making it accessible for all to engage with this vibrant and evolving technology environment. As more people get involved in AI, we might witness the rapid disappearance of barriers that have limited access to this technology.

How can AI be decentralized?

Combining AI with blockchain technology allows for a more inclusive approach to creating and utilizing AI models and applications based on them. Decentralized AI systems can foster teamwork in developing large-scale language models and provide secure, transparent access not only to these models but also the data they’re trained on that underlies them.

Through decentralization, the industry is broadening avenues for individuals with AI expertise to participate in the advancement of this technology. Moreover, the transparency inherent in blockchain technology can make certain that the data used to educate new Language Learning Models (LLMs) is verifiable and traceable, thereby fostering fair compensation and minimizing risks associated with AI bias or manipulation.

In simpler terms for common users, you’ll find that easy-to-use, AI-driven tools like chatbots, picture creators, and forecasting software will become more commonplace, often offered free or at a low cost. This is likely to expand the integration of AI into our daily routines.

In the same vein, blockchain technology opens up innovative avenues for AI initiatives to secure funding. By tokenizing AI models, the systems that operate them, and the data employed in their training, individuals can invest in the future of artificial intelligence, earning a piece of the income generated by these technologies later on. Decentralized AI encourages community ownership, making artificial intelligence more accessible and diverse, better reflecting a broader spectrum of needs.

Primarily, decentralization could pave the way for a broader integration of Artificial Intelligence (AI) across various sectors. The potential benefits of AI are already evident, with about three-quarters of companies integrating this technology in at least one application, and 64% reporting improved productivity as a result. As AI becomes more user-friendly, it’s logical to expect that an increasing number of businesses, as well as individuals, will find its adoption appealing.

Who is decentralizing AI?

Although private entities currently dominate the field of generative AI, numerous organizations are constructing the base for decentralized systems, which could significantly transform this sector in the future.

One of the exciting collaborations underway is between Kite AI and GAIB, who aim to jointly establish a decentralized artificial intelligence (AI) environment. This partnership intends to provide AI researchers with easy access to top-tier AI models, data, and computational resources. The infrastructure for this ecosystem will be based on blockchain technology, ensuring both secure and transparent data management. Additionally, the blockchain will facilitate a decentralized marketplace where individuals can obtain computing infrastructure like graphic processing units at reduced costs.

In this collaboration, Kite AI offers a unifying platform that links blockchain technology with robust AI processing capabilities, vast data sets for AI learning, and pre-constructed fundamental Language Learning Models (LLMs) and AI agents.

Through GAIB, users gain access to computational resources via tokenized GPUs – an innovative asset type backed by genuine market demand. Essentially, these tokenized GPUs function as investment opportunities, yielding returns from individuals who leverage the hardware’s resources. The ultimate goal of Kite AI and GAIB is to establish a platform that facilitates the monetization of AI assets using DeFi solutions like GPU-backed stablecoins and lending markets. By converting non-liquid GPUs into tradable assets, GAIB is opening up new investment avenues for everyone.

One innovative project among many is making waves in the decentralized AI sector. For example, ORA Protocol is leading the charge with “Initial Model Offerings,” or IMOs, a concept that allows people to invest in tokenized AI models. This system builds upon blockchain technology to create a marketplace where anyone can buy and sell transparent, collaboratively-developed AI models.

ChatOLM, an AI chatbot developed by ORA, is constructed upon a base of advanced technology. This chatbot harnesses the power of distributed and decentralized graphics processing units (GPUs) for inferencing. With just an internet connection, it’s easily accessible to all. Since it’s built on blockchain technology, it offers resistance to censorship, demonstrating how decentralized AI applications can foster a more conducive environment for free speech online.

Newcomers in the field also include Sentient, who concentrate on delivering businesses blockchain-centric tools for secure, scalable, and collaborative Artificial Intelligence (AI) development. On the other hand, Sahara AI has constructed a decentralized AI blockchain to foster an open and collaborative economy. This platform allows individuals to capitalize on their personal expertise by making it accessible for AI learning, thereby inviting everyone to join this burgeoning economy.

The Future of AI and Blockchain

Decentralized AI paves the way for a future where AI applications become more equitable, reachable, and secure. By lowering the hurdles in AI development, it encourages worldwide cooperation, allowing individuals with innovative ideas to bring their visions to life, regardless of their geographical location. This shift will revolutionize the AI sector, transforming it from an industry dominated by a few corporations into a platform where everyone has an opportunity to thrive.

The profound effects of making AI models more readily available will be far-reaching, influencing sectors such as healthcare, education, government, and smart cities alike. This approach democratizes AI technology, ensuring that it’s not confined to a select few who can afford its use. Currently, many of the world’s most potent AI models are hidden behind paywalls, primarily benefiting their creators and those with the means to pay for access.

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2024-12-16 17:13