GenLayer and Gaia Partner to Bring Decentralized AI Inference to On-Chain Applications
GenLayer and Gaia have partnered to integrate decentralized AI inference with on-chain arbitration, enabling real-time, verifiable AI execution at the edge. This collaboration allows GenLayer's Intelligent Contracts to leverage Gaia nodes for AI tasks, enhancing scalability, privacy, and decentralization in applications like AI-driven DAOs and parametric insurance.
Code with the GenLayer Studio
GenLayer has launched Studio, an upgraded, browser-based application for developing Intelligent Contracts. Using a Python-based SDK and the GenVM execution environment, Studio enables developers to prototype contracts with AI-powered functionality and native internet access. Ideal for use cases like prediction markets and parametric insurance, Studio supports testing and debugging, preparing developers for GenLayer’s testnet and mainnet.
10 reasons to be excited about GenLayer
GenLayer unlocks new possibilities by leveraging AI to create intelligent contracts that connect to real-world data. With Python and natural language support, it democratizes smart contract development. GenLayer ensures decentralized, reliable AI decision-making, shaping a $2.6 trillion AI-driven economy. Join GenLayer for full support in pioneering decentralized intelligence.
Making AI on the Blockchain Safe
GenLayer enhances the security of AI-powered decentralized applications (dApps) by using a multi-validator approach and a Greyboxing mechanism to mitigate risks from adversarial attacks. By distributing decision-making across multiple AI models, GenLayer reduces vulnerabilities, ensuring dApps remain resilient and secure on the blockchain, avoiding reliance on a single AI model.
What is an Intelligent Oracle?
Intelligent Oracles connect smart contracts to the real world by using AI to fetch real-time data from the internet. Unlike traditional oracles, they enable contracts to adapt dynamically to live events, from weather updates to financial trends, making blockchain applications smarter and more responsive.
How Can GenLayer Make DAOs Fully Autonomous?
GenLayer transforms DAOs into truly autonomous organizations with Intelligent Contracts that can think, make decisions, and analyze data in real-time. This upgrade allows DAOs to manage funds, review proposals, and execute complex tasks faster and without human input, making them smarter and more efficient.
How Can I Set Up the GenLayer Simulator?
The GenLayer Simulator allows developers to build and test Intelligent Contracts in a safe environment before launching on the real blockchain. By installing the GenLayer SDK, connecting to the Simulator, and using familiar coding languages like Python, developers can experiment freely, refine their contracts, and seamlessly transition them to the testnet.
Why does GenLayer have a simulator and how to use it?
GenLayer’s Simulator provides a safe environment for developers to test and build decentralized applications (dApps) using Intelligent Contracts. It allows experimentation without risking real blockchain errors. Developers can code in Python or WASM, transition projects smoothly to the testnet, and perfect dApps before official deployment, improving reliability and user experience.
How Will Intelligent Contracts Help the Blockchain Ecosystem?
GenLayer’s Intelligent Contracts go beyond traditional smart contracts by enabling non-deterministic decisions, such as real-time web searches and complex analyses. These contracts offer developers flexibility with multiple coding languages, seamless blockchain interoperability, and enhanced security through decentralized AI models. Intelligent Contracts revolutionize dApps by adapting to real-world data autonomously.
What are Intelligent Contracts?
GenLayer’s Intelligent Contracts enhance traditional smart contracts by integrating AI, allowing them to perform complex tasks like adjusting prices, analyzing real-time data, and understanding natural language. Powered by Large Language Models (LLMs) and multiple validators, these contracts make dynamic, autonomous decisions, ensuring accuracy and trustworthiness in decentralized systems.