Intended Uses and Goals
The primary goal of Rakis is to enable Decentralized Verifiable Inference, allowing for their integration with smart contracts and blockchain-based applications (dApps). Downstream, this unlocks a range of potential use cases and opportunities for leveraging AI in a trustless, permissionless manner, especially for mission critical flows.
Integrating AI with Smart Contracts (The Demand Side)
One of the core intended uses of Rakis is to facilitate the integration of AI models with smart contracts across any evm or non-evm chains. By providing a decentralized inference network, Rakis allows smart contracts to leverage the capabilities of AI without relying on centralized services or trusted third parties.
Imagine a decentralized autonomous organization (DAO) that can automatically evaluate grant proposals or investment opportunities using state-of-the-art language models. Or a decentralized finance (DeFi) platform that can analyze market trends and news articles to identify potential trading strategies or risk factors.
This integration empowers smart contract developers to build contracts that perform tasks that were previously impractical or impossible due to the limitations of traditional computational models.
Democratizing Access to AI (The Supply Side)
Another key goal of Rakis is to democratize access to AI by leveraging the decentralized nature of the network. Traditional AI services are often provided by centralized entities, which can lead to issues such as high costs, censorship, and lack of transparency.
Rakis creates a level playing field where anyone can contribute to the network by running nodes and participating in the inference process. All that is required from suppliers of compute is a modern web browser. There is no technical expertise needed for suppliers to partifcipate in the the network. We want to bring the barriers to resource provision as low as possible. By running entirely in the browser, Rakis makes it possible for individuals and organizations with limited computational resources to leverage the power of AI without the need for expensive hardware or infrastructure.
All this fosters a low friction environment for collaboration and shared resources, and ensures access to verifiable AI capabilities remains broad.
Fostering Innovation and Collaboration
The decentralized and open-source nature of Rakis is designed to foster innovation and collaboration within the AI and blockchain communities. By providing a platform for researchers, developers, and enthusiasts to contribute and experiment, Rakis aims to accelerate the development of new AI applications and use cases.
Imagine a vibrant ecosystem where individuals and organizations can collaborate on developing and deploying AI models, sharing resources and insights, and collectively driving the evolution of decentralized AI solutions.
Furthermore, the transparency and auditability of the network can help build trust and encourage the responsible development and deployment of AI systems, promoting ethical and socially responsible practices.
Expanding the Capabilities of Smart Contracts
Ultimately, Rakis seeks to expand the capabilities of smart contracts by introducing a new instruction set: the ability to leverage AI models and natural language processing.
Envision self-executing trusts and grants that can understand and respond to natural language prompts, or decentralized applications that can interact with users in a more natural and intuitive way, thanks to the integration of language models.
By bridging the gap between AI and blockchains, Rakis has the potential to unlock new levels of automation, intelligence, and user-friendliness for decentralized applications and smart contracts.
In the following sections, we will delve deeper into the technical architecture of Rakis and explore the novel contributions that make this project unique and innovative.