The Eliza agent framework from @ai16zdao is gaining traction among developers for its ease of use in building AI agents. Users report that it allows for significant productivity improvements, enabling the setup of unique Twitter agents in approximately 10 minutes. The framework supports decentralized inference through @CryptoEternalAI, featuring advanced models like Llama 405B, FLUX, and Hermes. Additionally, Bittensor's $TAO network is expanding with the launch of Subnet 27, which aims to enhance decentralized AI capabilities by increasing compute resources. This initiative is part of Bittensor's broader goal to create a decentralized network of AI models that continually evolve and adapt. The growing number of subnets and active users is driving demand for distributed resources, ensuring that the network can keep pace with its expanding user base.
The future of AI demands infrastructure that evolves with it. Subnet 27’s decentralized compute ensures Bittensor’s decentralized intelligence scales and thrives without constraint. $TAO
Decentralized intelligence means no downtime—when one node rests, the others carry on. $TAO
What if compute power could be shared, valued, and scaled globally? Subnet 27 is turning that idea into reality by decentralizing compute on an unprecedented level. $TAO