Synesis One Launches Train2Earn App for AI Data Crowdsourcing on Solana Blockchain

Synesis One Launches Train2Earn App ‘Workspace by Synesis’ on Multiple Platforms

Synesis One, the world’s first AI data crowdsourcing platform on the Solana Blockchain, has announced the release of its Train2Earn App ‘Workspace by Synesis’ on various platforms. This new app allows individuals from anywhere in the world to train AI and earn rewards. The CEO of Synesis One, Paul Lee, believes that this app is a significant step in providing high-quality data to companies developing AI applications. The need for quality data to train AI models is growing rapidly across industries, and Synesis One aims to connect companies with digital workers who can generate the necessary data quickly and at competitive prices.

Key Points:
– Synesis One’s Train2Earn app allows individuals worldwide to train AI and earn rewards.
– High-quality data is essential for training AI models.
– Synesis One aims to connect companies with digital workers for data generation.
– The Train2Earn platform conducts business logic entirely on the blockchain, ensuring traceability and auditability.
– The platform also enables public voting for data quality and uses crypto payments.

Synesis One’s first client is Mind AI, which is developing an advanced natural language reasoning engine. The Train2Earn community is helping crowdsource the data needed to train the engine and contribute to the advancement of general artificial intelligence. The Train2Earn mobile app is available for download on various platforms.

Hot Take:

Synesis One’s launch of the Train2Earn app is a significant development in the field of AI data crowdsourcing. By connecting companies in need of quality data with digital workers, Synesis One is addressing the growing demand for AI training data. The platform’s use of blockchain ensures transparency and security, making it an ideal solution for businesses integrating AI into their processes. With the Train2Earn app, individuals have the opportunity to contribute to the advancement of AI technology while earning rewards. This innovation has the potential to transform the way AI models are developed and trained in various industries.