AI "Data Staking": Masa Network Launches Train AI to Earn New Model

Written by: Masa

Compiled by: Paimon, Foresight News

Introduction

In the era of artificial intelligence, data has become the most valuable commodity in the world. The most valuable datasets for AI often come from the daily digital lives of billions of users browsing the internet and interacting on social platforms.

For a long time, large tech companies have been "misusing" user data, and the rise of AI has exacerbated this issue. The generative AI models that are widely adopted today require vast amounts of data to complete their personalized training. To obtain effective datasets, AI companies are scraping user data from open networks and social platforms through various means. Essentially, this is "stealing" the privacy data of global users.

At the same time, most tech companies have created billions or even trillions of dollars in value through AI models trained on user datasets, yet they do not share any economic benefits with users. Users are effectively deprived of their rights to control, own, and receive fair compensation for their personal data.

Masa is attempting to fundamentally change the way users benefit from the AI boom by monetizing their digital "footprints" while protecting their privacy, thereby providing them with reasonable compensation. This article will delve into Masa's revolutionary AI pricing model, which will enable billions of users to participate in the AI data economy.

AI Data Staking: Earning Rewards for AI Training

Masa will run in the background, collecting the digital footprints left by users while reading emails, browsing social platforms, visiting websites, and interacting with their digital lives, ensuring that these traces remain private and secure in the private database zkSBTs (Zero-Knowledge Soulbound Tokens).

Users simply need to open the Masa App, view the data within the Masa network, assess its value, and choose different liquidity pools for staking to earn rewards. The specific methods are as follows:

Providing Data to the Masa Network

• Quest to Earn: Participate in specific activities or tasks to contribute data, such as joining Discord groups, participating in trading competitions, training AI models, and completing data staking to earn rewards in the Masa App.
• Surf to Earn: Use the Masa extension on Chrome to browse the web and earn rewards. This extension can autonomously capture valuable data points and store them in a private database.
• Nodes-to-Earn: Users and node operators automatically act as distributed data collection nodes through the Masa Chrome extension and Masa Data Oracle, obtaining public and private data with a lower technical threshold to earn network incentives.
• Passive Rewards: Masa's ecosystem partners can use the Masa SDK to aggregate data and observe communities, allowing users to earn passive rewards from the aggregated data of Masa ecosystem partners.

Data Tokenization

Masa uses a points system to quantify the value of user data within the Masa Network. After the launch of the Masa mainnet on April 11, users can directly view their accumulated data points in the Masa App.

Subsequently, users can stake their data in staking pools to earn rewards. Developers within the Masa ecosystem will create various staking pools that reward different types of data contributions, such as AI trading bot developers who tend to reward contributors of wallet interaction data.

Empowering Hyper-Personalized AI Use Cases through Data Contribution

Masa provides the impetus for AI applications by rewarding user data staking, thereby opening the door to extensive innovation. Masa firmly believes that future AI models will understand users better than they understand themselves, and this vision will be built on users opening their personal datasets for AI training and optimization. For example:

• AI for Cryptocurrency Market Prediction: Masa can provide developers with real-time datasets covering user browsing history, social sentiment, and on-chain interactions, offering market information references for AI to identify cryptocurrency market trends, uncover investment opportunities, and generate more accurate price predictions.
• AI for NFT Management: Masa's network data oracle can supply AI with structured data on the latest NFT market trends and community sentiment, enhancing AI-driven NFT management tools to formulate and evaluate more efficient trading strategies.
• AI for Political Prediction: Many of Masa's datasets will cover social sentiment, social engagement, and link click-through rates, even enabling effective predictions of voter sentiment in presidential elections.

Conclusion

Masa firmly believes that users have the right to reap economic benefits from the flourishing of AI. Therefore, Masa provides users with a new paradigm that allows them to train AI models with their personal data while ensuring their privacy rights and control.

By participating in the Masa ecosystem, users can not only effectively protect their digital footprints but also contribute to the data economy in a fairer and more transparent manner. As AI rapidly evolves, human data contributors and AI developers will collaboratively open up the pathways for the development of the AI data economy through platforms like Masa, allowing every click, search, and interaction to generate greater value.

The era of the AI data economy is approaching, and the Masa Network mainnet and tokens will be launched around April 11, so participants should be prepared.