Masa Partners with codatta to Revolutionize AI and Data Annotation

Masa is thrilled to announce a strategic partnership with codatta, an innovative platform that will integrate the Masa Data Oracle into their advanced AI and data annotation applications.

This collaboration aims to enhance the quality and scope of user-generated data, driving the development of robust AI models, user-identification and data labeling, while bolstering security measures against sybil attacks.

Empowering AI with User Annotation Data

codatta is the first decentralized data protocol aiming to build foundational data infrastructure for developers and protocols, with built-in mechanisms generating scientific confidence levels. The goal is for Web3 users to monetize their data and efforts in developing publicly accessible data without compromising privacy.

codatta will integrate the Masa Oracle to fuel its data protocol, which requires a vast amount of quality data from a wide-variety of sources to train its AI models and fuel its infrastructure. The Masa Oracle will also ensure the contributors of that data are properly labeled and attributed.

Masa’s Data Oracle: A Treasure Trove of Real-Time Data

The Masa Data Oracle plays a crucial role in the partnership with codatta by providing real-time structured data, from sources such as (Twitter), Discord, diarized speech (e.g. podcasts, YouTube, TikTok), gated web data (e.g. New York Times), and public web data (e.g. Google Search). This data can be contributed by anyone, anywhere through a vast network of decentralized node workers, who get rewarded for contributing data and compute to the network.

Masa just recently announced our Bittensor Subnet. The Masa Bittensor Subnet provides real-time and static, structured, annotated, and vectorized data from a variety of data sources critical for AI development. Real-time data can be used to build robust datasets or used directly in system prompts, providing up to date context to LLMs.

This treasure trove of real-time data will be used by codatta to enhance its AI model training and data infrastructure.

Enhancing Web3 Data Coverage and Quality with codatta

codatta has assembled a significant network of data contributors to boost data confidence through AI-verified evidence, multi-party cross-referencing, and staking-as-confidence. This comprehensive approach ensures the reliability and accuracy of the data, making it invaluable for developers.

Similarly, Masa implements an inherent improvement mechanism in its Bittensor Subnet, ensuring quality Oracle Data is rewarded through incentive alignment. By tying rewards and penalties to performance, Masa ensures that participants are motivated to continually enhance their contributions. This alignment of incentives fosters a culture of excellence and innovation.

Innovative AI Applications and Use Cases

With the integration of Masa’s Data Oracle, codatta plans to enhance their user annotation data in various ways:

• Demographic Information: Gathering user information such as age group, gender, and geographic location.
• User Browsing Data: Analyzing user browsing behavior and patterns to derive actionable insights.

Additionally, codatta will leverage Masa’s powerful social scraper functionality to build sophisticated tools and applications:

• Social Connections Mapping: Using Telegram data to map social connections, which can help identify and mitigate bot behavior.
• User Identification: Utilizing attributes like IP addresses to identify users and tie them to specific actions and behaviors.
• Combined User Social View: Creating a comprehensive social profile for each user by combining data from initial users, contacts, groups, messages, and tying this information to their wallets.
• Scam-Resistant Networks: Developing networks that can resist scam activities by leveraging robust AI-driven data analysis.

In Conclusion

The partnership between Masa and codatta represents a significant leap forward in the realm of AI and data annotation. By combining Masa’s real-time data capabilities with codatta’s innovative AI and data infrastructure, this collaboration is set to revolutionize the way data is labeled, identified, and used in Web3 applications. Thus, ensuring a safer, efficient, and accurate ecosystem of user-contributed data.

This partnership is another stellar example of Fair AI, powered by the people. Join us on this exciting journey as we continue to push the boundaries of what’s possible in decentralized AI and data annotation.

To learn more about codatta, visit their website and follow them on X.

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