Artificial intelligence and blockchain technology have always been thought of as the revolutionary thing that would change the way people perceive the world. A decentralized ChatGPT or an AI-driven lending dApp can be infinitely more powerful and useful than their regular counterparts, and that’s what attracts many passionate entrepreneurs to build companies that would combine blockchain tech and AI to build something new. In this article, we’ll take a look at the most valuable projects that combine those two technologies in their field. Enjoy!
Top Three Use Cases of Crypto AI Projects
While the AI crypto sector is huge, companies can be divided into three main categories: Infrastructure, Decentralized Chatbots, and Marketplaces. Let’s take a look at these sectors and some examples of projects operating within them.
Decentralized AI Infrastructure
Without a broad and steady infrastructure of AI-focused blockchains and projects that would offer computational power, this sector could’ve never thrived. Here are the three main projects that offer decentralized AI infrastructure for dApps.
Render Network
Render is a peer-to-peer network that connects users needing graphics processing power with those having idle GPUs for digital rendering. Often underutilized, GPUs can be rented out through Render for tasks like video processing, gaming, and artificial intelligence computing. Render's three-tier pricing system allows users to pay more for faster GPU usage or choose discounted options for slower completion. Completed jobs are matched based on creator and node operator reputation. Jobs are recorded on the blockchain, while the details and completion occur off-chain. Render is one of the many projects that have massively benefited from the AI boom. In 2023, the RNDR token rose more than 1000% after tens of newly launched AI platforms started searching for cheap and fast computing power, which Render supplied them with.
Cortex
Cortex is a public blockchain specifically designed to support the execution of AI algorithms and AI-powered dApps. The project provides a platform for AI developers to upload their models onto the blockchain and incorporate them into smart contracts. Cortext uses Proof of Work to verify every step of the machine-learning interface. The key technology of the Cortex blockchain is the Cortex Virtual Machine (CVM), which is ported from the Ethereum Virtual Machine and backward compatible with it. Basically, Cortex is a blockchain designed to support the large computational needs of AI models, chatbots, and other decentralized applications. The blockchain already hosts different decentralized applications like Digital Clash, where on-chain AI serves as an impartial referee.
Akash Network
Akash Network is a more decentralized and community-driven version of Render. It offers the same blockchain platform that allows users to buy and sell computational resources in a more decentralized manner. What sets Akash network apart is its open-source codebase. Compared to computational giants like AWS, Google Cloud, and even Render sometimes, every change in the code, every funding round, or roadmap update is done in public, with the participation of its community. The project is mainly focused on artificial intelligence and machine learning. The network facilitates the training of artificial intelligence models by providing access to vast amounts of computing power at a fraction of the cost of traditional cloud providers.
AI Model Training and Chatbots
Wouldn’t it be great to have a secure AI agent that would be able to cover all your needs in terms of data, knowledge, and functionality? Here are two projects that work on creating AI agents that could, in the future, do your work for you:
Sensay
Sensay pioneers the development of personalized digital replicas far beyond mere imitations. In partnership with companies like Fetch.ai, LayerZero, and Banyan Computer, Sensay goes beyond your usual AI agent, creating an identical twin that takes on your personality and can act in your name. What can they do? Almost anything. From answering simple questions to helping patients and their families fight dementia, the digital replicas created by Sensay are highly versatile.
The interesting part about them is their ability to evolve. Just like any other human, Sensay’s digital twins can learn, contextually adapt their responses, and mature over time. To create a digital replica, users must answer ~50 questions and upload an audio file with their voice. From there, the AI agent will create a replica of their personality, mimicking the tone of their voice and how they speak. The application currently works in more than 110 languages. In the future, Sensay plans to add video capabilities to its replicas. By simply uploading a bunch of photos and maybe some videos, the replica will be able to generate your twin, giving you the ability to speak to yourself in real time.
OORT AI
OOrt AI is an intelligent platform for creating advanced AI agents. It runs on top of the OORT cloud and is a factually accurate (non-biased) tool for businesses interested in integrating AI into their model. OORT AI is easy to train and use. The power of decentralization cuts costs, giving you top-notch service for less money. Why settle for basic when you have an AI friend matching your brand? Customize your AI to handle different kinds of data like text, images, sound, or video and talk in a way that suits your brand. Their prompt and context optimizer feature helps AI handle complex instructions easily. And with the self-improvement tool, your AI friend improves based on user feedback. All the data running on a client’s AI agent will be safely stored on OORT Storage, granting them exclusive and full control of access and content. They can also use OORT AI on their servers to follow rules like HIPAA and GDPR and keep their data safe.
Data and AI Marketplaces
Selling and getting data and artificial intelligence tools is hard, especially if you want to maintain the rights over intellectual property. Let’s dive into two projects that solve this problem:
Ocean Protocol
Ocean is an open-source protocol that aims to allow businesses and individuals to exchange and monetize data and data-based services. Built on top of the Ethereum blockchain, the Ocean protocol uses ‘datatokens’ to gate access to data sets. The tokens are then redeemed by users who need access to the information. Ocean is seeking to make the data sets on its platform available to startups and researchers, without the data having to leave the hands of those who store it.
SingularityNET
SingularityNET is an AI project that aims to break the control of centralized tech companies over the AI sector. To overcome this challenge, Singularity developed a decentralized platform where developers could share and monetize their AI services while maintaining control of their IPs. Besides that, SingularityNET offers a wide variety of other use cases, starting with AI-as-a-Service and ending with developer tools and research papers.
What is The Superintelligence Alliance?
As of April 2024, three major decentralized AI platforms – SingularityNET, Ocean Protocol, and Fetch.ai – have entered into an agreement to merge and create the Superintelligence Alliance. The merger will create the largest open-sourced player in AI research and development. After the launch, the newly created token, $ASI, is expected to have a market capitalization of more than $7.5 billion. The new entity will be named the Superintelligence Collective and led by Ben Goertzel as the CEO, joined by Fetch.AI’s Humayun Sheikh as the Chairman and Trent McConaghy representing Ocean Protocol.
Conclusion
To sum everything up, the artificial intelligence and crypto market is filled with projects that have the ability to change the world. From Sensay’s identical digital replicas to Akash’s completely decentralized computational power marketplace, every project covers a different need of its user. If you have more projects to add to this article, don’t hesitate to leave a comment below with some suggestions!
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