Metis, a pioneering Layer 2 blockchain, is proud to unveil ReGenesis, a transformative initiative positioning the network at the forefront of Artificial Intelligence (AI) on the blockchain. This strategic pivot focuses on developing infrastructure tailored to AI’s unique demands while pioneering a decentralized, ethical, and innovative AI ecosystem.
“AI is reshaping the world, but its current trajectory is weighed down by centralization, data misalignment, and inefficient incentives,” said Tom Ngo, CEO at Metis. “Through ReGenesis, we’re building the foundational layer AI needs to thrive, leveraging blockchain’s decentralization and verification to ensure a fair, fast, and transparent future for AI.”
Addressing AI’s Unique Challenges
The adoption of AI is accelerating, but its potential is hindered by technical and ethical challenges. Metis ReGenesis focuses on creating an AI-optimized blockchain infrastructure to address three core needs:
Fast Networks: AI demands low-latency processing and high throughput for real-time applications, which current blockchain systems fail to provide.
Data Alignment and Availability: Seamless decentralized storage and frameworks to validate and align data are critical for producing accurate and reliable AI outputs.
Compute-Storage Interoperability: AI applications require scalable storage and compute marketplaces to efficiently process massive datasets.
Metis is tackling these challenges head-on, aiming to be the de facto home for AI on blockchain.
Introducing LazAI: The First Step Toward Trusted AI
As a flagship initiative of ReGenesis, Metis is incubating LazAI, an open network for verified AI assets. LazAI is designed to tackle AI’s pressing issues, including data misalignment, privacy concerns, and centralized control, by introducing innovative blockchain-powered solutions:
Verified Computing Technology: Ensures datasets are refined, accurate, and aligned with human values.
Decentralized Governance (iDAOs): Individual-centric DAOs (iDAOs) bring diverse perspectives to data curation, ensuring ethical AI development.
Data Anchoring Tokens (DAT): A proprietary standard enabling ownership and equitable sharing of AI-generated value.
Generative Data Marketplace (gDataMkt): Facilitates the creation and utilization of tokenized datasets for AI innovation.
By focusing on these foundational elements, LazAI is setting the stage for a modular, decentralized AI ecosystem aligned with real-world needs and ethical considerations.
Decentralizing AI: A Shift from "God-Model" to "Many-Model"
Metis envisions a future where AI moves away from centralized “God-Models” dominated by a few entities toward a decentralized “Many-Model” ecosystem. This approach fosters innovation, privacy, and inclusivity by enabling individuals and smaller organizations to create, govern, and benefit from specialized AI models.
The Road Ahead: Unveiling Metis’ Hidden Technical Roadmap
ReGenesis is only the beginning. With half of its technical roadmap intentionally under wraps, Metis is preparing to introduce groundbreaking innovations designed to redefine how AI operates on blockchain. From addressing data integrity challenges to enabling autonomous decentralized agents for DeFAI, Metis is committed to building an AI ecosystem that is fast, decentralized, and human-aligned.
“Think cyberpunk vibes but utopian outcomes,” added Tom. “Metis is building the infrastructure AI needs to flourish—not just for today but for the future we’re all imagining.”
Contributing to a Blockchain-Powered AI Future
Metis invites innovators, developers, and AI enthusiasts to join its mission to create a blockchain-powered AI ecosystem that prioritizes transparency, collaboration, and ethical innovation.
For more information about ReGenesis and LazAI, users can visit here.
About Metis
Metis is pioneering Ethereum Layer 2 scaling through true decentralization. Our unique model combines community governance, shared network ownership, and revenue sharing, creating aligned incentives for all participants while maintaining superior security and performance.
