Masa’s Decentralized AI Manifesto: Powering the AI Revolution with Decentralized Data and LLMs

Masa
Masa
Published in
3 min readMar 11, 2024

Artificial intelligence is radically transforming our world at an exponential rate. By 2030, AI companies are projected to create over $1 trillion in value, with the largest impacts coming from AI-powered, hyper-personalized experiences. We believe that future AI models will know users better than they know themselves.

At Masa, we are fueling a revolution to decentralize and democratize the core resources driving this AI renaissance: high-quality, verified personal data and out-of-box large language models. For too long, personal data — from browsing history, app usage, your scroll time, to Twitter messages, emails, and more — is locked up in walled gardens, controlled by big tech.

With Masa, we’re on a mission to drive a new data paradigm and bring a new permissionless data layer to the world. Where data is owned by all participants — giving users the holy grail of self-sovereignty — complete control and the ability to monetize their data. Masa sits in the background and aggregates your massive digital footprint, making it private and secure for when you want to monetize it. We envision a future where the fundamental fuel for artificial intelligence, data and models, is decentralized, open, and permissionless for all.

Masa is catalyzing this new decentralized AI paradigm through three foundational offerings:

  1. Decentralized Personal Data Network: AI breakthroughs require training on vast, unbiased datasets capturing real human behaviors and natural language at scale. Yet internet-scale personal datasets remain lacking. Masa unlocks the world’s richest personal data streams by giving access to 33 million user data points permissioned by 1.3 million users. High-quality, verified user personal data fuels more accurate, personalized, and engaging AI applications that truly resonate with users.
  2. Web Data Scraper: In addition to our permissioned personal data network, the web represents the largest source of data ever created — an invaluable resource for training robust AI models. Masa’s Oracle Network operates as a decentralized web scraper that empowers developers to seamlessly extract text from websites, Twitter streams, authenticated sites, and more to feed vector databases and language models with structured data. By providing structured web data, our scraper simplifies acquiring and structuring hyper-personalized training data for direct use in LLMs.
  3. Decentralized LLM Delivery: Accessible data is only part of the solution. Masa decentralizes cutting-edge language models themselves, allowing developers to access, fine-tune, and integrate a vast suite of open-source LLMs, without the need for complex model hosting and inference setup. Through Masa’s Oracle Network node operators deliver OpenAI-compatible APIs and state-of-the-art models that have high availability.

By decentralizing foundational datasets and language models, Masa ignites an exponential cycle propelling the AI revolution. The possibilities are boundless: from startups tailoring niche AI agents, to enterprises achieving hyper-personalization at scale, to researchers pioneering new frontiers, to creators forging novel human-AI co-creations. Decentralization prevents concentrated power to establish a more robust, ethical, aligned paradigm. AI safety starts with giving users control, permissions and rewards for their data.

At Masa, we are building this decentralized AI future, starting now. Join us as we unleash a new generation of transformative, ethical, and equitable artificial intelligence — democratized and decentralized for all.

The Masa Network mainnet and MASA token is set to launch on or about April 11th, 2024. Join us on this exponential journey of innovation. Welcome to the new era of Decentralized AI.

Relevant Readings:

Unlocking the Future of Data: Brendan Playford’s Revolutionary Vision with Masa

Future AI Models Will ‘Know Users Better Than They Know Themselves’ — Calanthia Mei

Be a part of the Masa Community 👨‍🚀

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Masa
Masa
Editor for

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