Digital Currency Group (DCG) has unveiled Yuma, a new subsidiary dedicated to accelerating startups building decentralized intelligence projects using Bittensor’s infrastructure.
According to the firm’s statement, the move is a strategic foray into converging crypto and artificial intelligence (AI), two sectors poised for exponential growth.
DCG founder and CEO Barry Silbert will lead Yuma and aims to equip startups and enterprises with the capital, infrastructure, and technical expertise needed to develop applications on Bittensor’s decentralized, open AI network.
Silbert stated:
“Just like Bitcoin revolutionized transparent, borderless money, we’re now entering an era of decentralized intelligence. Yuma provides startups and enterprises with the resources to deploy innovative ideas on Bittensor, creating a transformative AI platform accessible to all.”
Creating on Bittensor
Bittensor is a decentralized AI network that enables global contributors to create, train, and access machine learning (ML) models in an open marketplace. The goal of its Yuma Consensus (YC) mechanism is to measure and fairly reward its contributions using its native token TAO.
Projects within the network operate as “subnets,” each specializing in AI and ML services like text generation, translation, and data storage.
Yuma actively participates across Bittensor as a validator, miner, and subnet developer. The company is currently the third-largest validator on the network and supports various subnets, including text-based AI tools and financial services.
As a result, the new DCG subsidiary acts as a subnet accelerator and incubator, streamlining projects and providing technical and strategic guidance.
Grayscale, another DCG parent company, launched a decentralized AI fund in July that tracks cryptos such as TAO, Filecoin (FIL), Livepeer, Near Protocol (NEAR), and Render (RENDER).
Less than one month later, the asset manager created a trust fully focused on TAO, as the company believes Bittensor is at the center of advancing decentralized AI.
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