AI Decentralization Manifesto: How Far Is the AI Golden Age in Masa's Eyes?
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AI Decentralization Manifesto: How Far Is the AI Golden Age in Masa's Eyes?
The future AI market, worth trillions of dollars, cannot thrive without high-quality personal user data and out-of-the-box LLMs.
Navigating Web3 tides with focused insightsAuthor: Masa Network
Translation: Frank, Foresight News
Undoubtedly, artificial intelligence (AI) is driving the tides of our era forward at an unprecedented pace. By 2030, AI-related companies are projected to generate trillions of dollars in market value, with AI-powered personalized user experiences becoming a key highlight. From this perspective, personal data is gold in the AI age—and through precise training, future AI models may even understand individuals better than they understand themselves.
Masa's vision is to empower this decentralized AI movement by providing two core resources: high-quality, verified personal user data, and ready-to-use large language models.
Two Core Resources
As widely known, users’ personal data—browsing history, app usage, online time, social media activity, and more—has long been locked within centralized databases controlled by tech giants.
With Masa, users gain full control over their personal data. Leveraging zero-knowledge proof (ZK) encryption technology, Masa can securely aggregate vast digital footprints in the background while enabling safe, anonymous data sharing between users and AI developers.
If your personal data is used by AI developers for model training or agent development, you will be rewarded with tokens.
Additionally, the “ready-to-use” approach allows developers to leverage Mass’s pre-integrated toolkit of open-source large language models to build and upgrade their model hosting and inference setups.
This means developers can directly adopt mature AI model solutions via Mass, focusing on end-users without facing technical complexity, and rapidly deliver diverse AI services while saving significant time and costs associated with independent R&D and deployment.
Three Product Lines
Overall, Masa is advancing decentralized AI through three core product lines:
1. Decentralized Personal Data Network: AI models and agents require massive amounts of user behavior and natural language data. Across today’s internet, personal user data remains trapped within the walled gardens of big tech. Over the past year, Masa has begun building the world’s richest personal data network—already with 1.3 million users contributing 33 million data points. High-quality, verified personal data enables AI models and agents to better align with user needs, resonate with them, and even understand users better than they understand themselves.
2. Web Data Scraper: Web data itself is a valuable resource for training AI models. Masa’s Oracle Network acts as a decentralized web data scraper, seamlessly extracting rich textual information from websites and social platforms like Twitter, then delivering structured data to vector databases and language models. By offering structured web data, our scraper greatly simplifies the process of acquiring and building highly personalized datasets, enabling direct integration between data and large language models.
3. Decentralized Large Language Models: Beyond supplying high-quality training data, Masa also provides decentralized large language models. This empowers developers to access, fine-tune, and integrate numerous open-source LLMs, significantly simplifying complex model hosting and inference configurations. Through Masa’s Oracle Network, node operators offer AI developers OpenAI-compatible APIs and state-of-the-art decentralized large language models with high availability.
In today’s rapidly evolving AI landscape, high-quality data is gold, and decentralized large language models are the gold mine. With both critical resources—data and models—Masa aims to spark a new wave of decentralized AI revolution, unlocking infinite possibilities for AI developers:
Startups can use Masa to create unique AI agents; enterprises can achieve large-scale user personalization; researchers can explore new frontiers in decentralized AI; content creators can develop works that better meet user needs.
Decentralized AI can help build a more balanced, open, and fair new world of artificial intelligence.
Let us set sail together and co-create a decentralized AI era.
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