In the era of AI, despite prevailing narratives about LLMs substituting a spectrum of human roles, human intelligence actually becomes even more crucial: as models become more intricate, they require human expertise for refining models and increasing subject matter specialization. Here comes the role of NEAR Tasks, this user-friendly platform seamlessly links task listing, work assessment, and crypto rewards, propelling AI model training into a new epoch through direct human feedback loops and a flexible self-service marketplace.
High-Quality Training Data to Enhance the Performance of AI Models with NEAR Tasks
The NEAR Tasks is a user-friendly platform that specializes in providing high-quality training data to enhance the performance of your AI models.For AI creators and businesses, NEAR Tasks offers a self-service, plug-and-play solution, setting users free from the constraints of the expensive managed service options. The Blockchain integration on NEAR enables smooth and efficient data labeling by experts, who can build more reputation and receive payment in real time for contributing quality work through the platform.
For task performers, the platform marketplace offers a transparent path to monetize their skills and knowledge, unlocking new revenue streams in the ever-changing AI labor frontier and altering the future of digital work. There are over a billion participants in the global on-demand gig economy today, demonstrating the need for more opportunities as well as greater specialization for those with particular training or expertise. With more dependable identity verification for accounts, quicker work evaluation, and the ability to compensate task performers with crypto, workers can get paid more reliably and work at the pace they desire making the gig economy more supportive to specialized workers.
Accessing Further Opportunities
Senior Engineer Momo Araki said: “There’s an interdependence for the system to function correctly. You have to reform the central inspection principle wielded by task providers, and maintain sybil-resistance so workers can’t trick the platform. It’s loosely analogous to a ‘proof-of-work’ model, where work performed well also translates to earning reputation, which leads to accessing further opportunities.” Incorporating more trust into a tasks marketplace in this manner also produces improved outcomes for the AI builders and businesses attempting to refine their models.
A Just and Transparent Platform for AI Training
In the AI landscape where automation frequently overshadows human involvement, NEAR Tasks acknowledges the crucial role of a global workforce that is responsible for validation and data labeling. The platform introduces on-chain digital IDs for task performers, leading to more accountability and transparency.
Transactions exclusively carried out in $NEAR guarantee prompt global payments with minimal fees, directly addressing the issue of underpaid AI workers in what is known in the industry as “AI sweatshops.”
“Human intelligence forms the base of artificial intelligence, and it’s time we give AI tasks the recognition they deserve as legitimate jobs in the AI economy,” says Catherine Yushina, Head of Operations at NEAR Tasks.
AI Is NEAR Tasks
NEAR Co-Founder Illia Polosukhin, who is considered as an AI researcher himself and co-creator of transformers, the architecture powering today’s major LLMs like ChatGPT — named AI as one of the core verticals for the ecosystem. From transforming governance and business operations with AI agents to provable provenance for data and content, as well as novel marketplaces like NEAR Tasks and hybrid human-AI working environments, we’re at the very beginning of an exciting revolution that will alter the ways we work, collaborate, transact, research, and much more.
